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Journal articles on the topic 'Biometric Voting'
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Hemalatha, Dr S., Ms M. Gowthami, and V. Karthi. "Online Voting Using Biometric." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-Active Galaxy (2018): 55–58. http://dx.doi.org/10.31142/ijtsrd14568.
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Sheranova, Arzuu. "Cheating the Machine: E-voting Practices in Kyrgyzstan’s Local Elections." European Review 28, no. 5 (2020): 793–809. http://dx.doi.org/10.1017/s1062798720000241.
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This paper analyses the e-voting experience of the local elections undertaken by Osh city Council in 2016. The process was introduced to ensure fair and democratic elections in Kyrgyzstan after continuous and repeated violent political uprising. The e-system, based on biometrics registration, biometric identification of voters and automated vote counting, was designed to help to avoid the most common election frauds: vote buying, carousel voting and group/family voting. The case study, mainly based on interviews, illustrates the adaptation and modernization of strategies to resist and cheat within the e-voting system. The analysis outlines three widely practised cheating strategies: procedural violations, such as avoiding cross-checking of manual and automated counting and allowing voting without biometrical identification; transformation of bribery into ‘vote auctioning’; and strengthening of kinship-based/regional support and tribal/regional identity under conditions of e-voting.
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USHA, M. ANANYA L. PATIL KAVYASHREE K. N. BHAVYASHREE HARTHI T. "BIOMETRIC-ENABLED VOTING SYSTEM DESIGN USING IOT." International Journal For Technological Research In Engineering 11, no. 4 (2024): 55–60. https://doi.org/10.5281/zenodo.10450166.
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This study delves into the paradigm shift introduced by a Biometric-Enabled Voting System, emphasizing the integration of pragmatic face and fingerprint detection for enhanced voter authentication. The abstract outlines the fundamental principles behind this design, its applications in electoral settings, and the implications for election security. Through a synthesis of current advancements and practical considerations, the paper highlights the potential of biometric technology to revolutionize the voting experience while addressing concerns related to identity verification. The findings contribute to the discourse on modernizing electoral processes and fortifying democratic systems.This study explores the integration of pragmatic face and fingerprint detection in a Biometric-Enabled Voting System, aiming to enhance voter authentication in electoral processes. The abstract summarizes the fundamental principles, applications, and transformative potential of this design. Through a synthesis of advancements and practical considerations, the paper emphasizes the role of biometrics in revolutionizing the voting experience while addressing identity verification concerns. The findings contribute to the discourse on modernizing electoral processes, fortifying democratic systems, and fostering trust and transparency in elections.
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Deora, Payal, Abhishek Kumar, Gayathri M, and Malathy C. "Secured Voting System with Multimodal Biometric Technique using ANN." International Journal of Engineering & Technology 7, no. 4.19 (2018): 586–88. http://dx.doi.org/10.14419/ijet.v7i4.19.27964.
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Free and fair elections play a major role to explicate a democratic government, but all too frequently, the actual mechanics of election has always been taken for granted in our country, the largest democracy in the world. The issue of security is very prominent in any system such as the current electoral voting system. There is no proper record of people who have already casted their vote. The voter Id card does not have any record of biometrics of the voter, so we cannot guarantee genuine voting hence creating chances of bogus voting. Therefore, we intend to aid in security of voting system by bringing advanced technologies of neural networks with multimodal biometrics (face recognition, fingerprint scan, retina scan etc). As these biometrics of a person is already recorded in their Aadhar card, so it can be used as database. At the time of voting, biometric information of a voter will be gathered and will be matched to the database obtained by Aadhar card so that the person can be identified correctly. The proposed new voting system with multimodal biometrics can help any democratic government in conducting smooth election by removing all the ambiguities and security issues of current scenario. ‘Â
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M G, Saji, and Renju Kalarikkal. "Online Security and Optimization Powered by Fingerprint in Online Voting System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 03 (2023): 1–8. https://doi.org/10.55041/ijsrem18098.
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Election is a process in which voters choose their representatives and express their preferences for the way that they will be governed. Using the decade old voting system to collect votes is no longer considered efficient due to the various recurring errors. The advancement of information and telecommunications technologies allow for a fully automated online computerized election process. An electronic voting system defines rules for valid voting and gives an efficient method of counting votes, which are aggregated to yield a result. Moreover, electronic voting systems can improve voter identification process by utilizing biometric recognition which provides more security. Biometrics is becoming an essential component of personal identification solutions, since biometric identifiers cannot be shared or misplaced, and they represent any individual’s identity. Fingerprint matching is a significant part of this process. The value of democracy is voting. The importance of voting is trust that each vote is recorded and tallied with an accuracy and impartiality. Key Words: Anti-spoofing measures, Feature extraction, online voting system, Image acquisition.
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Thakurendra, Singh, Sharma Chirag, Pratap Sharma Avadh, Kumar Upadhayay Yogesh, and Sharma Rahul. "Biometric Electronic Voting Machine." International Journal of Trend in Scientific Research and Development 4, no. 3 (2020): 617–20. https://doi.org/10.5281/zenodo.3892454.
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Main objective of this paper is to improve the existing Indian voting system. In the present voting system, one can easily poll the fake vote by various wrong methods. This may lead to a big democratic problem. By implementing some changes in the previous systems, we can make the polling process more secured and counting process fast and efficient. By using biometric in voting systems, the process of polling will be more secured than the existing system. In this system, no one can vote instead of the legit voter. All voter information is stored in this system. Here, we are using the fingerprint for the verification purpose. Every individual has a unique fingerprint. So, there will not be any kind of misconduct done while using this system. At the time of counting, the process can be done by connecting the system to the computer making the process faster. Thakurendra Singh | Chirag Sharma | Rahul Sharma | Avadh Pratap Sharma | Yogesh Kumar Upadhayay "Biometric Electronic Voting Machine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30597.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30597/biometric-electronic-voting-machine/thakurendra-singh
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Surjith, S. Jithin Thankachan Harinath S. Anjana S. &. Sumithra S. "BIOMETRIC BASED VOTING SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY NACETEC' 19 (April 11, 2019): 170–73. https://doi.org/10.5281/zenodo.2636918.
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We all are quite familiar with electronic voting machines, where our votes get registered electronically and don’t need to use ballot paper to vote in election. Today security is a major concern and it also needs to be ensure that someone can’t vote twice, so this problem can be solved by introducing face recognition and fingerprint based voting system, where a person can be authorized based on his/her fingerprint and face.
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Ranjan, Nikhil. "Enhancing Voting Security and Efficiency." Journal of Computers, Mechanical and Management 2, no. 3 (2023): 9–15. http://dx.doi.org/10.57159/gadl.jcmm.2.3.23065.
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This study explores developing and implementing a novel Electronic Voting Machine (EVM) system integrated with biometric identifiers to enhance voting security and efficiency significantly. Traditionally, voting processes relied on paper ballots, a system fraught with several challenges, including over-voting, the loss or misplacement of ballot papers, environmental harm due to paper consumption, and a lengthy result compilation process. An advanced EVM system is proposed to address these issues, leveraging unique biometric identifiers - facial recognition and fingerprints - for voter authentication and secure vote recording. Our EVM system effectively improves the security against bogus voting and vote repetition, which have been significant concerns in previous voting systems. This robust approach to voter authentication minimizes the likelihood of voting fraud, thus contributing to a more reliable and secure voting process. However, the transition to this advanced EVM system is challenging. The study identifies keyimplications, including the impact on employment due to automation, potential inaccuracies and biases associated with biometric technologies, and vital privacy concerns surrounding using sensitive biometric data. Despite these challenges, the proposed system provides a substantial foundation for future enhancements. Opportunities for further development include the integration of additional biometric identifiers like iris recognition, refining the accuracy of current biometric technologies, and strengthening data privacy measures.
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Musambo, Lubasi K., and Jackson Phiri. "Identity Management Based on Frontal Facial Recognition for Voters Register in Zambia." Zambia ICT Journal 3, no. 1 (2019): 28–39. http://dx.doi.org/10.33260/zictjournal.v3i1.73.
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Biometric technology offers a great opportunity to identify individuals, authenticate individuals and separate individuals. Using these advantages, an election or voting model can be developed to perform elections for a country such as Zambia. Zambia currently uses a manual based voting or election model that heavily relies on paper presented documents that must be physically verified and or matched to existing prior collected information before an individual is allowed to participate in an election or a voting system. This paper proposes a frontal facial election based biometric model that can be used to rid the current election system of redundancy and introduce a paperless, accurate and efficient identification, authentication and voting process. A baseline study conducted shows that biometric authentication based on this proposed model improves a work related process such as a voting system. We start by introducing the elements that make a biometric model ideal, we then give an insight into the Zambian based election system and then we review various biometric technologies available and then finally introduce our biometric model.
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T. Haripriya, Vinodkumar B G, Mahesh Babu, G. Aswini, and Rekha M S. "Biometric System Based Electronic Voting Machine." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 3 (2024): 155–60. http://dx.doi.org/10.32628/cseit2410315.
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Through voter identity verification, the avoidance of duplicate voting, and the reduction of problems like ballot rigging and voter impersonation, biometric authentication—more specifically, fingerprint scanning—improves voting security and accuracy. Before enabling voters to cast their ballots, the proposed biometric Electronic Voting Machines (EVMs) use fingerprint sensors combined with microcontrollers such as ARM9. In addition to displaying voter data, such as name, photo, constituency, and ID, following authentication for transparency, these EVMs provide instantaneous transfer of voting results to a central server for oversight. Compared to conventional paper-based or electronic systems, biometric-based EVMs are intended to improve voting process security, efficiency, and integrity.
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Yaman, Mehmet, Abdulhamit Subasi, and Frank Rattay. "Comparison of Random Subspace and Voting Ensemble Machine Learning Methods for Face Recognition." Symmetry 10, no. 11 (2018): 651. http://dx.doi.org/10.3390/sym10110651.
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Biometry based authentication and recognition have attracted greater attention due to numerous applications for security-conscious societies, since biometrics brings accurate and consistent identification. Face biometry possesses the merits of low intrusiveness and high precision. Despite the presence of several biometric methods, like iris scan, fingerprints, and hand geometry, the most effective and broadly utilized method is face recognition, because it is reasonable, natural, and non-intrusive. Face recognition is a part of the pattern recognition that is applied for identifying or authenticating a person that is extracted from a digital image or a video automatically. Moreover, current innovations in big data analysis, cloud computing, social networks, and machine learning have allowed for a straightforward understanding of how different challenging issues in face recognition might be solved. Effective face recognition in the enormous data concept is a crucial and challenging task. This study develops an intelligent face recognition framework that recognizes faces through efficient ensemble learning techniques, which are Random Subspace and Voting, in order to improve the performance of biometric systems. Furthermore, several methods including skin color detection, histogram feature extraction, and ensemble learner-based face recognition are presented. The proposed framework, which has a symmetric structure, is found to have high potential for biometrics. Hence, the proposed framework utilizing histogram feature extraction with Random Subspace and Voting ensemble learners have presented their superiority over two different databases as compared with state-of-art face recognition. This proposed method has reached an accuracy of 99.25% with random forest, combined with both ensemble learners on the FERET face database.
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Nalayini, C. M., K. Vishnupriya, A. Dhivyabharathi, and H. Yuvapriya. "Biometric based Mobile Voting Application." June 2023 5, no. 2 (2023): 159–68. http://dx.doi.org/10.36548/jitdw.2023.2.006.
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With a population of more than one billion, India is the largest democracy in the world. Its electorate is more than 668 million people and includes 543 congressional districts. Each Indian citizen above 18 years of age is entitled to vote in elections to choose their leaders. The traditional method of voting involved paper ballot voting and at present Electronic Voting Machines (EVM) are employed. The goal of the mobile voting system research is to create a software that makes voting simple in all elections. This system aims to increase election security by using a fingerprint recognition algorithm for voter identity authentication. This allows all eligible voters to participate in the election from any place. There are some circumstances like COVID epidemic where a physical election is not feasible, and this model overcomes it. It helps to provide reliable, timely, and accurate election results. Voter ID, Aadhar ID and biometric system (fingerprint) are used by the website for user login.
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V, Manohar Nelli. "BIOLOGICAL AUTHENTICATION VOTING SYSTEM USING BLOCKCHAIN." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34142.
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The "Biological Authentication Voting System using Blockchain" marks a significant advancement in electoral processes by introducing a secure and efficient online voting solution.This project integrates cutting edge biometric authentication specifically ,fingerprint and facial recognition with the transparency and immutability of blockchain technology. This cohesive integration aims to fortify the security, accessibility, and inclusivity of the electoral process .The core functionality of the system involves the incorporation of advanced biometric authentication during user registration, establishing a secure digital identity for both voters and candidates. This identity becomes the linchpin during the voting process, providing a robust security layer that not only mitigates identity theft but also ensures the legitimacy of participants. Key Words: Blockchain, Secure Voting, Biometric Voting.
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Sujana, S., and V. S. K. Reddy. "Comparison of levels and fusion approaches for multimodal biometrics." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 791. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp791-801.
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The biometric-based authentication system occupies maximal space in the field of security administration. Biometric applications are swiftly accelerating in day-to-day life such as computer login, smart homes, online banking, hospitals, border areas, industries, forensics, e-voting attendance system and investigation of crime. A reliable and accurate recognition body can be achieved with multimodal biometric methodologies. In this paper, we discuss starting with an introduction to biometric systems followed by their classification, and advantages as well as disadvantages. In today’s world, most of the systems are unimodal biometrics having a lot of limitations to overcome those multimodal biometrics comes in to picture. In this paper we have discussed comprehensive representation on the system of multimodal biometric, various modes of undertakings, the significance of information fusion, a different section is allotted on the various possible levels of fusion involving sensor-level, feature-level, score-level, and decision -level as well as different rules of fusion.
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Sujana, S., and V. S. K. Reddy. "Comparison of levels and fusion approaches for multimodal biometrics." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 791–801. https://doi.org/10.11591/ijeecs.v23.i2.pp791-801.
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The biometric-based authentication system occupies maximal space in the field of security administration. Biometric applications are swiftly accelerating in day-to-day life such as computer login, smart homes, online banking, hospitals, border areas, industries, forensics, e-voting attendance system and investigation of crime. A reliable and accurate recognition body can be achieved with multimodal biometric methodologies. In this paper, we discuss starting with an introduction to biometric systems followed by their classification, and advantages as well as disadvantages. In today’s world, most of the systems are unimodal biometrics having a lot of limitations to overcome those multimodal biometrics comes in to picture. In this paper we have discussed comprehensive representation on the system of multimodal biometric, various modes of undertakings, the significance of information fusion, a different section is allotted on the various possible levels of fusion involving sensor-level, feature-level, score-level, and decision-level as well as different rules of fusion.
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Reddy, R. Surender. "IOT Based Biometric Voting System." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (2019): 1530–36. http://dx.doi.org/10.22214/ijraset.2019.5258.
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Satyanarayana, M., Rajiv Pranam T, P. Sai Charan Reddy, and S. Sai Srinivas. "Biometric-Based Electronic Voting System." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3014–18. http://dx.doi.org/10.22214/ijraset.2023.50796.
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Abstract: This project presents the design and implementation of an electronic voting machine (EVM) that uses fingerprint verification to enhance the security and accuracy of the voting process. The EVM is integrated with an SQLite database to store voters' fingerprint data and personal details. The system allows voters to cast their votes by verifying their identity through fingerprint recognition and pressing a button on the EVM. Once a vote is cast, the voter receives a message on their mobile device to confirm that their vote has been recorded. The project aims to address the challenges of traditional voting systems and offer a more secure and reliable method for election management.
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Kumar, Govind, Mozakker Anam, Md Sajid, and Dr Sakthivel M. "Finger Print Voting System." International Research Journal of Computer Science 11, no. 04 (2024): 200–203. http://dx.doi.org/10.26562/irjcs.2024.v1104.11.
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The field of biometrics, or the identification of people based on physiological or behavioral characteristics [6], has recently received a significant amount of attention in current research as a result of its applicability in the fields of information technology and security. With the increased usage of PIN numbers and passwords in everyday life, the vulnerabilities of these two technologies are becoming more apparent (e.g. password-cracking). Biometric authorization’s strengths are that it requires the user to be present and that it eliminates the hassles of passwords and PIN’s (or can be used in parallel with these for added security). Specifically, online identity verification, ATM machines, and building entrance authorization, are all areas where it is very useful to implement an automatic identification system.
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Kancherla, Tarun. "Fingerprint-Based Voting System Using C#: A Secure Biometric Approach to Modern Elections." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 158–60. https://doi.org/10.22214/ijraset.2025.68176.
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Integrity in elections is fundamental to democratic processes, yet traditional voting systems face significant vulnerabilities such as rigging and voter fraud. This paper introduces a biometric voting so- lution leveraging fingerprint recognition to enhance electoral transparency developed using C# and SQL Server Studio to improve electoral transparency and security. The proposed system employs bio- metric authentication to uniquely identify voters, effectively eliminating impersonation and multiple voting incidents. System performance evaluations demonstrate a biometric matching accuracy of 98%, underscoring the practicality and efficiency of biometric systems in real- world electoral environments.
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Nganso, Keupnou Romuald Peguy, Roger Mbonyineza, and Valentine Gnerwande Tinashe. "Fingerprint Authentication Voting System using Arduino." International Journal of Recent Research in Electrical and Electronics Engineering (IJRREEE) 11, no. 1 (2024): 1–10. https://doi.org/10.5281/zenodo.10566691.
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<strong>Abstract:</strong> This study explores the use of Arduino to construct a fingerprint authentication voting system in order to improve electoral security and efficiency. By incorporating biometric technology, the method guarantees each voter's identification is distinct and verifiable. It reduces the hazards connected with conventional techniques and encourages a more trustworthy electoral process by utilizing fingerprints. In examining the system's technical features, security protocols, and sociological ramifications, the article highlights biometrics' crucial role in preserving democratic norms. <strong>Keywords:</strong> Biometric identification, Digital identity, Fingerprint, Voting system, Arduino Uno, liberal democracy. <strong>Title:</strong> Fingerprint Authentication Voting System using Arduino <strong>Author:</strong> Nganso Keupnou Romuald Peguy, Mbonyineza Roger, Tinashe Valentine Gnerwande <strong>International Journal of Recent Research in Electrical and Electronics Engineering (IJRREEE)</strong> <strong>ISSN 2349-7815</strong> <strong>Vol. 11, Issue 1, January 2024 - March 2024</strong> <strong>Page No: 1-10</strong> <strong>Paper Publications</strong> <strong>Website: www.paperpublications.org</strong> <strong>Published Date: 25-January-2024</strong> <strong>DOI: https://doi.org/10.5281/zenodo.10566691</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.paperpublications.org/upload/book/Fingerprint%20Authentication%20Voting%20System%20using%20Arduino-25012024-4.pdf</strong>
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Ajimatanrareje, Gbenga Alex. "Advancing E-Voting Security: Biometrics-Enhanced Blockchain for Privacy and VerifiAbility (Bebpv)." American Journal of Innovation in Science and Engineering 3, no. 3 (2024): 88–93. https://doi.org/10.54536/ajise.v3i3.3876.
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Achieving individual verifiability and receipt-freeness in e-voting systems poses a complex challenge. Mechanisms that allow voters to confirm their votes may also inadvertently enable them to show proof of their choices to others, thus jeopardizing vote privacy. This creates a critical tension between two essential objectives: enabling individual verifiability, where voters trust the system to accurately count their votes, and maintaining receipt-freeness, where the system prevents exploitation and coercion. The Biometrics-Enhanced Blockchain for Privacy and Verifiability (BEBPV) system proposed in this study addresses this challenge by employing facial biometric authentication and trusted node centres for post-voting verification; the biometric facial authentication reduces risks associated with the resale of voting credentials and removes the need for voters to recall complex passwords, while the post-voting verification process available at secure, trusted node centers allows voters to confirm their votes without retaining any proof that could be shared with third parties, thus upholding receipt-freeness. These mechanisms collectively ensure that individual votes are verifiable, while simultaneously safeguarding against coercion and vote-buying through receipt freeness. The feasibility of the BEBPV system is demonstrated through smart contract implementation for both the voting phase and post voting phase. Additionally, the system is validated on several essential attributes of an e-voting, including fairness, universal verifiability, eligibility and privacy. A technical evaluation indicates a transaction cost of 166,662 gas per vote cast.
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Snehal Gurav, Anushka Fase, Dipali Masal, Gaurakka Umarani, and K. I. Chouhan. "Fingerprint Based Voting System Using IOT." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 888–94. http://dx.doi.org/10.32628/cseit241061134.
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The “Fingerprint Voting System[3] Using IOT” is an innovative approach to enhancing the security, reliability, and efficiency of the voting process. This system integrates biometric fingerprint recognition with IOT (Internet of Things) technology to create a secure, user-friendly, and tamper-proof voting mechanism. Traditional voting systems are often vulnerable to identity fraud, ballot manipulation, and delays in result compilation. By leveraging fingerprint biometrics, the system ensures that each voter can only cast one vote, thereby eliminating the possibility of voter fraud and multiple voting. The system operates as follows: each voter is required to authenticate their identity through fingerprint scanning before accessing the voting platform. The fingerprint data is matched with a pre-existing voter database to verify eligibility. Once authenticated, the voter is granted access to the digital ballot system, where they can securely cast their vote. The IOT component connects the voting terminals to a centralized server over a secure network, ensuring real-time data transmission and immediate updates to the voting status.
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Kumar, M. Raja, Bellamkonda Anitha, Ravva Pravallika, Chunchu Naveen, and Bandaru Ramakrishna. "VLSI Design and Implementation of Electronic Voting Machine." International Journal of Innovative Research in Engineering and Management 9, no. 4 (2022): 150–53. http://dx.doi.org/10.55524/ijirem.2022.9.4.28.
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In place of the ballot papers and boxes that were formerly used in traditional voting systems, an EVM, or electronic voting machine, is used to record votes. The fundamental right to vote, or simply the capacity to cast a ballot, is the cornerstone of democracy. Voters would mark the name of their favourite candidate with a stamp in prior elections, whether they were state or center elections, fold the ballot paper following the instructions, and then place it in the ballot box. This is a time-consuming, difficult, and error-prone operation. This arrangement persisted until computerized voting machines drastically altered the election scene. There is no longer a need for ballot paper, ballot boxes, stamping, etc. The electronic voting machine's ballot unit is a straightforward box. Biometric identifiers are thought to be more trustworthy than conventional token or knowledge-based approaches for person recognition since they cannot be readily lost, faked, or exchanged. Therefore, depending on contemporary technologies, such as the biometric system, the electronic voting system needs to be enhanced. This article offers a thorough analysis of voting devices, problems, and comparisons of various voting processes and biometric EVMs.
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CHANDRASHEKAR, Mr B. M. "Fingerprint-Based Biometric Smart Electronic Voting Machine Using IOT." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48935.
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ABSTRACT A safe, open, and effective voting system is more crucial than ever in the current digital environment. Voter impersonation, ballot manipulation, and logistical problems plague traditional voting techniques including manual ballots and electronic voting machines (EVMs), particularly in rural or heavily populated areas. To address these issues, this project suggests an Internet of Things (IoT)-enabled smart electronic voting machine that uses fingerprint biometrics. Only eligible voters are permitted to cast ballots, and duplicate or unauthorized entries are prevented thanks to its exact voter authentication using fingerprint biometrics. In order to ensure integrity and dependability, the system includes a microcontroller, fingerprint sensor, LCD for user interface, and a secure Internet of Things module that permits encrypted, real-time vote transfer to centralized cloud databases. With features like secure vote tallying, remote monitoring, and real-time administrative notifications, the voting system is improved by the incorporation of IoT technology. By overcoming obstacles related to geography and infrastructure, these capabilities guarantee effective operation in both urban and rural locations. Real-time result aggregation is made possible by cloud-based data storage, which also maintains system dependability and voter privacy. The approach is easily adaptable to institutional, local, or national elections since it is scalable. Robust encryption procedures strengthen public confidence by preventing manipulation and unwanted access. Additionally, by using less paper, the transition to digital operations encourages environmental sustainability, making the system both environmentally benign and technologically modern.This intelligent voting system is made to be easy to use, require little upkeep, and be deployed affordably. It sets a new standard for election security and accessibility by fusing secure IoT connection with biometric verification. The system provides a technically sound and socially meaningful solution in an effort to restore public confidence in democratic processes. It facilitates transparent operations and remote voting for a variety of demographics and geographical areas. It is flexible and scalable, making it appropriate for many kinds of elections. In an increasingly digital environment, this approach lays the groundwork for future political involvement by guaranteeing a safe, inclusive, and effective voting experience.
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Pratibha Dubey, Dr. "Electronic Voting Machine Using Biometric Recognition." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47424.
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Abstract- In the past few decades, the necessity of secure, transparent, and efficient voting processes has gained unprecedented significance. Classic paper-based election systems have also been confronted by numerous challenges like vote tampering, identity spoofing, and logistical inefficiency. Electronic Voting Machines (EVMs) coupled with biometric recognition technology hold great hope in solving such problems. In this paper, we discuss the idea, model, advantages, and disadvantages of adopting EVMs augmented by biometric methods like fingerprint and facial recognition. We also compare real-world experiences, potential setbacks, and prospective directions for making election systems more inclusive and authentication. Keywords-A secure electronic voting system using fingerprint biometric authentication ensures accurate voter verification via image processing. It uses encrypted template matching and wireless data transfer to enhance election security.
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M.N., Prof Annadate, Shreyans Sunil Gandhi, Nivita Ravi Kaniampal, and Pushkar Satish Naral. "Online Voting System Using Biometric Verification." IJARCCE 6, no. 4 (2017): 276–81. http://dx.doi.org/10.17148/ijarcce.2017.6452.
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D.Enoch, Joseph, and Nne R. Saturday. "Biometric Online Voting System in Nigeria." International Journal of Computer Trends and Technology 49, no. 1 (2017): 18–86. http://dx.doi.org/10.14445/22312803/ijctt-v49p104.
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Okandeji, A., M. B. Olajide, A. A. Okubanjo, and F. Onaifo. "Design and development of biometric voting system using fingerprint and facial recognition." Nigerian Journal of Technological Research 15, no. 3 (2020): 34–43. http://dx.doi.org/10.4314/njtr.v15i3.5.
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The election process adopted in Nigeria is mostly paper based or manual. This manually handled process can be time-consuming, and prone to security breaches and electoral fraud. Consequently, this work proposes a biometrically authenticated voting system to provide inexpensive solution to the electoral process in Nigeria. In particular, the biometric database is constructed by filling it with the audio fingerprints and the associated metadata of many audio clips, and then the fingerprint of an unknown clip (or the distorted version of the clip brought by compression or standard audio processing) is extracted and compared to that of the clip in the database. If the fingerprint of the unknown clip is in the database, it will be correctly identified by the matching procedures. The project is implemented with biometric system i.e. fingerprint scanning and facial recognition. Accordingly, this is used to ensure enhanced security, and to avoid fake, repeated voting. Results obtained showed that the proposed system is fast, accurate, reliable, and cost effective, thus a viable option to replace the manual voting process.
 Keywords: Biometrics, electoral process, facial recognition, finger print scanning
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Asia Abdullah Ahmed and Nada Hussein M. Ali. "Secure E-voting authentication system employing biometric technology, Crypto-Watermarking Approach and blockchain technology: A Review." Mustansiriyah Journal of Pure and Applied Sciences 3, no. 2 (2025): 135–52. https://doi.org/10.47831/mjpas.v3i2.324.
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Moderately, advanced national election technologies have improved political systems. As electronic voting (e-voting) systems advance, security threats like impersonation, ballot tampering, and result manipulation increase. These challenges are addressed through a review covering biometric authentication, watermarking, and blockchain technologies, each of which plays a crucial role in improving the security of e-voting systems. More precisely, the biometric authentication is being examined due to its ability in identify the voters and reducing the risks of impersonation. The study also explores the blockchain technology to decentralize the elections, enhance the transparency and ensure the prevention of any unauthorized alteration or manipulation of the results. Additionally, the watermarking technology is examined for viewing the ability to store and transmit the voting result in secure manner though preserving the confidentiality ensure fair elections. this review aims to evaluate the combination of biometric authentication, watermarking, and blockchain technologies effectiveness to develop robust e-voting framework. as a result, the key finding indicates a hybrid approach that integrates those technology offers a solution to address the security challenges.
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Adewale Olumide Sunday, Boyinbode Olutayo, and Salako E. Adekunle. "An Enhanced Computational Fusion Technique for Security of Authentication of Electronic Voting System." International Journal of Smart Security Technologies 7, no. 2 (2020): 22–37. http://dx.doi.org/10.4018/ijsst.2020070102.
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The detection of a false individual who had not been enrolled as a genuine participant in an election could be potentially detected in electronic voting systems as against paper-based methods. In recent time, one-time password and biometrics have been used to curtail false acceptance of imposters. However, imposters had unlawfully stolen the credentials of genuine individuals, gained unauthorized access, and polled illegitimate votes due to poor authentication methodology. The accuracy of a multi-biometric system is a function of the data type used and fusion method adopted. This paper presented a computational fusion approach that involved the use of fingerprint and randomly generated voter identification number to effectively satisfy the authentication security requirement of the electronic voting system. New architectural and mathematical equations on the proposed approach were presented to tackle the problem of false acceptance rate and improve on the true acceptance rate of a biometric system. Algorithm to achieve the proposed approach was presented in this paper as well.
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T M, Navamani, Tajinder Singh Sondhi, and Shivam Ghildiyal. "DigiVoter: Blockchain Secured Digital Voting Platform with Aadhaar ID Verification." ECS Transactions 107, no. 1 (2022): 7427–40. http://dx.doi.org/10.1149/10701.7427ecst.
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The Election Commission of India has talked about India's Electronic Voting Machines (EVMs) as dependable and impeccable, yet comparable electronic voting machines utilized around the world have shown to experience the ill effects of genuine security issues. This research aims to build a digital voting platform secured with the revolutionary concept of blockchain. A naive implementation of the same using Python for biometric authentication and NodeJs to create the blockchain is presented. It secures the blocks using 512-bit SHA-2 (Secure Hashing Algorithm 2). For authentication of users, the proposed model incorporates the use of biometric data which will be mapped to the cryptic unique Aadhaar card number of the voter. Thus, a platform is proposed to make the voting procedure easier, secured, and fault tolerant using blockchain. The results show secure vote casting by biometric authentication and saving in an immutable distributed fashion, thus keeping it safe from being altered.
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Hemavathi., R., and A. E. Roopa. "Automated Biometric EVM Implemented Using Lab View." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 1065–71. https://doi.org/10.31142/ijtsrd18782.
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Election commission still uses manual system during election for vote casting in this modern age of digitalization. In parliamentary elections it is consider introducing Electronic voting machines EVM though Evm is not entirely automated and has many limitations. Integrated database system containing all voters' information and a convenient user interface of an automated biometric voting system had designed, in this work. Automatically casted votes will be counted simultaneously of the voting process and result will be displayed. Using Lab VIEW enables the data base storage and file management process to easy to build and applicable in all other fields compare to other methods. Lab VIEW is mainly for data acquisition, data base storage, extraction of the data from data base and displaying it and also for report generation to store election voting information in files for future purpose. Main advantage of this project is not using internet connection for database extraction and storing purpose. This paper presents 2nd stage of verification by proving Aadhar information of the voter extracted by the use of fingerprints and that going to display on screen. The Aadhar information can be monitored. In future IOT can be implemented to send election report etc. Therefore, voting management of the election commission will be improved by ceasing fraudulent activities, corruptions, ensuring security, transparency, fairness, accuracy, trustworthy and keeping backup trails of voting system can be seen in this paper. Hemavathi. R | Roopa A E "Automated Biometric-EVM Implemented Using Lab-View" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18782.pdf
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B., Shalini, Sakthi Prabha M., and Krithika R. "Secure Authentication for Advanced Voting System using Fingerprint and RFID." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 703–6. https://doi.org/10.31142/ijtsrd11044.
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The problem of voting is still critical in terms of rigging and security. A RFID and BIOMETRIC fingerprint sensor is being used in this advanced voting system. In the initial stage of voting we use bullet papers and polling machine without any unique authentication on the election voting process. Biometric are used for human secure authentication because fingerprint are unique in human biological nature. RFID Radio Frequency Identification used for automatic fetching data from data stored in device. The both modules are enhanced the rigging security in the election. B. Shalini | M. Sakthi Prabha | R. Krithika "Secure Authentication for Advanced Voting System using Fingerprint and RFID" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11044.pdf
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Essah, Richard, and Isaac Atta Senior Ampofo. "A Bibliometric Overview of IoT-Based Digital Voting." Asian Journal of Research in Computer Science 15, no. 3 (2023): 10–23. http://dx.doi.org/10.9734/ajrcos/2023/v15i3321.
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Abstract: Several studies have empirically explored biometric voting using the IoT to transfer votes to the central system. There aren't many bibliometric studies that categorize the output in this area, though. By keeping an eye on the papers posted on the Scopus platform, this study’s goal is to give research bibliometric analysis on biometric voting utilizing IoT to transfer votes to a central system, classifying trends, the state of the art, and other indications. 267 different materials made up the sample. Using the VOSviewer program, the data was processed and the outcomes graphically represented. According to the study, which examined publications’ simultaneous occurrence by year, trends of keyword, co-citations, coupling bibliographic, and co-authorship analysis, institutions, and countries, the body of knowledge on biometric voting that uses the Internet of Things to transfer votes to a central system is expanding quickly. More than 530 citations were found in just eight works. However, there are other industrious writers. The most significant of the 267 sources used in the review were published in 26.066 percent of the papers. China is the world's leader in this field. This study offers knowledge about the current state of the art and indicates research opportunities and gaps in IoT-based biometric voting.
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Sujatha, B., Yarrampati Ganesh, N. Leelavathy, et al. "Blockchain-Powered E-Voting: A Novel Approach to Secure Voter Authentication, Online Voting and Election Automation." Indian Journal Of Science And Technology 17, no. 47 (2024): 4948–58. https://doi.org/10.17485/ijst/v17i47.3573.
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Objectives: A blockchain-based E-Voting system shall be designed to secure and make transparent voting through biometric and facial recognition for voter authentication with the help of smart contracts to automate electoral processes. Methods: The research used the Ethereum blockchain technology with smart contracts to automatically schedule elections, register voters, and declare election results. Volunteers controlled information relating to the voter, which included name, email address, phone number, biometrics, and facial images. All this was available for authenticated access. The IPFS contained all this for decentralized and immutable record-keeping. Findings: This E-Voting system is therefore proposed based on enhancing the security as well as the transparency brought about in the electoral processes. Using smart contracts that are developed with Ethereum prevents manipulation and provides integrity regarding data. Studies show the IPFS storage system leads to complete decentralization together with immutability-a critical flaw seen in systems of traditional voting. One can ensure the participation will be done by only voters who are verified, much improvement compared to the level of reliability as well as integrity offered through the various methods applied within the current electoral processes. These study results reinforce blockchain's effectiveness in ensuring that voting applications are secure as well as tamper-proof. Novelty: A blockchain and IPFS-based secure, decentralized voting solution to maintain data integrity and transparency. Keywords: Blockchain, E-Voting, Secure Voter Authentication, Smart Contracts, Online Voting, Election Automation
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Sindhujasri, Kode Lakshmi Durga, Kaduputla Manogna, Sutrayeth Hari Yuktha Nanda, Baligiri Thandava Krishna, and Attru Hanumantharao. "Decentralized and Biometric-Authenticated E-Voting System: A Blockchain-Based Approach." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1785–94. https://doi.org/10.22214/ijraset.2025.67653.
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Abstract: Elections play a fundamental role in any democratic system, and ensuring their integrity is of utmost importance. Traditional voting methods, such as paper ballots and Electronic Voting Machines (EVMs), suffer from various limitations, including security vulnerabilities, vote tampering, low voter turnout, delays in result processing, and a lack of transparency. Digital voting solutions offer convenience but raise concerns regarding data security and susceptibility to cyber threats. Blockchain technology presents a promising solution to these challenges by providing a decentralized, transparent, and tamperproof framework for conducting elections. As a distributed ledger system, blockchain records transactions in an immutable and verifiable manner, ensuring the integrity of votes. Key features such as decentralization, cryptographic security, transparency, and anonymity make blockchain a robust choice for secure e-voting. In this paper, we propose and implement a blockchainbased e-voting system using Ethereum smart contracts and Web3.js. Our system enforces single-use voting credentials, preventing duplicate votes, and leverages gas fees to mitigate fraudulent voting attempts. Additionally, we develop a web-based application that demonstrates the practical implementation of blockchain voting, discussing its advantages, challenges, and limitations in real-world scenarios
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Prasad, Tashildar, Chougule Nikhil, Chougule Sukrut, and Sharma Shubham. "Fingerprint Based Voting System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26047.
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Abstract-We are all familiar with the current electronic voting machines where the user has to press the voting button. But the machines were criticized from the start. This article explains how to build a biometric based voting machine using a fingerprint sensor R307 and Arduino Uno. In this system, a person has to register their fingerprints matchings to the system database which will be stored centrally in Arduino. Voters must put their finger on the fingerprint sensor, and if the finger matches the previously stored information, the voter can vote. To determine the voters, the ID of the candidate will be initiliazed to store fingerprint so that the voter votes. It has simple equipment and is easy to access. It shortens the voting time, is easy to move from ballot boxes to ballot boxes, reduces the number of personnel in the ballot boxes, provides smooth, easy and accurate counting Keywords— Biometric, voting system, Fingerprint, Arduino, identification
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Mohammad Eisa Ruhullah and Thameem Ushama. "Biometric Voting Integrated With Islamic Political Principles: To Enhance Democracy In Bangladesh's E-Voting System." Istinbath : Jurnal Hukum 21, no. 1 (2024): 69–92. http://dx.doi.org/10.32332/4ajnt157.
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This paper addresses the vital importance of fair and transparent elections as the foundation of a robust democracy, crucial for representing citizens' voices and fostering trust in the electoral process. In Bangladesh, the pursuit of fair elections faces significant challenges, including transparency issues, accountability concerns, and instances of voter fraud. This analysis presents a novel approach that combines Quranic principles with biometric voting technology to address the challenges faced by the current voting system. Taking inspiration from Islamic values, particularly those that emphasize justice, equality, and accountability, the proposed framework intends to improve the democratic aspect of e-voting in Bangladesh. By incorporating biometric authentication mechanisms, such as fingerprint or iris scanning, this framework seeks to ensure the integrity of the voting process while adhering to Quranic and Prophetic principles of fairness and transparency. This study explores the feasibility and implications of implementing such a system within Bangladesh's electoral landscape through a multidisciplinary approach that bridges Islamic scholarship, technological innovation, and political theory. By leveraging the potential of biometric voting technology guided by Quranic principles, this research contributes to the ongoing discourse on electoral reform and democratization in Bangladesh, offering valuable insights into how technology and ethical considerations can intersect to strengthen democratic governance.
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Gawali, Ankita, Anjali Ithape, Shailly Nagar, and Dr Amar Buchade. "DigiVoter-Smart Voting System Using Biometrics-Based Facial Features." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3881–86. http://dx.doi.org/10.22214/ijraset.2023.51070.
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Abstract: Although India is a democratic country, it still uses traditional voting machines that are costly and require manual labor. However, an alternative web-based voting system has been proposed that would allow voters to cast their ballots from anywhere in the world. To participate, voters must register on the government's website and provide their name, address, and biometric information, such as fingerprints and facial images. This information would be securely stored in a server database. On election day, voters would log in to the website using their biometric information, similar to unlocking a mobile phone. This process would eliminate the need for physical presence and save time for voters. Moreover, using biometric information would reduce the risk of fraudulent voting. The proposed system would use ten print images to match the correct voter's name. To enhance security, the system would also take into account the constant distance between a person's eyes and eyebrows, which does not change with age
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Kumar, Sanjay, and Manpreet Singh. "Biometric Security based Intelligent E-Voting System." International Journal of Computer Applications 117, no. 4 (2015): 33–41. http://dx.doi.org/10.5120/20546-2918.
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Visvalingam, Kalaichelvi, and R. M. Chandrasekaran. "Secured Electronic Voting Protocol Using Biometric Authentication." Advances in Internet of Things 01, no. 02 (2011): 38–50. http://dx.doi.org/10.4236/ait.2011.12006.
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Mr.Kalash, Srivastava, and M.P.S Chawla Prof. "Fingerprint based Electronic Voting Machine with Inbuilt Identification and Verification System." Journal of Advances in Electrical Devices 3, no. 3 (2018): 6–13. https://doi.org/10.5281/zenodo.1469301.
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<em>Voting is one of the important tasks in electing a government for any democratic country. Biometric identification system is secure, reliable and privacy protected for the purpose of electronic voting machine. This paper provides the design of fingerprint based electronic voting machine.The developed system verifies the voter identity and also check whether the voter is authentic or not during election process. This work is targeted to replace the manual verification system with biometric verification system. The developed system also examines carefully whether the voter has voted once or more. This system does not require any third party service for its operation. It is a low cost system, flexible and easy to operate. Different components of the developed system have been tested under various operating conditions.</em>
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AbdulRahim, Abdulwasiu Kailani, Olusegun Folorunso, and Sushil Sharma. "An Improved Dynavote E-Voting Protocol Implementation." International Journal of E-Adoption 3, no. 3 (2011): 44–61. http://dx.doi.org/10.4018/ijea.2011070104.
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Electronic voting—the use of computers or computerized voting equipment to cast and tabulate and tally ballots in an election in a trustable manner—is a pillar of e-Government. The DynaVote voting protocol system proposed by Cetinkaya and Koc (2007) is assumed secure and practicable on a network. However, the DynaVote e-Voting protocol does not completely protect the voting counter against impersonated votes, especially when the pseudo-Vote identities are known by the wrong voter or compromised by authorities. To address this problem, a prototype called improved DynaVote e-Vote protocol was designed to protect the counter from anomalies associated with counting impersonated votes (multiple votes) in the same election. This was achieved by introducing biometric fingerprint and pseudo voter identities (PVID) encryption for each voter during voter registration via online or data mining of population data containing fingerprint biometrics. Furthermore, fingerprint reader and RSA public key cryptography is used in PVID to eliminate counting impersonated votes. The performance results showed that improved DynaVote e-Vote protocol is more reliable, eligible, and accurate, and protects voter privacy against other e-Vote protocols.
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Kankara, Mahidhara Reddy. "Encrypted e-Voting System using IoT." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 453–60. http://dx.doi.org/10.22214/ijraset.2021.37973.
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Abstract: Elections make a fundamental contribution to democratic governance but a lack of trust among citizens on their electoral system is a hindrance to satisfy the legal requirements of legislators. Even the world’s largest democratic countries suffer from issues like vote rigging, election manipulation and hacking of the electronic voting machines in the current voting system. To provide data security for e-Voting systems, the advanced encryption standard (AES) algorithm has been proposed, but traditional AES gives the same ciphertext for every similar pair of key and plaintext. So, to eliminate these disadvantages, AES in Galois-counter mode (GCM) has been used to obtain different ciphertexts all the time by using Initialization Vector. The fingerprint data from each user is verified using Internet of Things (IoT) based Biometric system which also helps to avoid Plural Voting. The whole data is encrypted and stored in the cloud, and it can be decrypted by authorized personnel to obtain the final vote count. So, the proposed model will enhance transparency and maintain anonymity of the voters alongside providing an easily accessible secured voting system. Keywords: Advanced encryption standard, initialization vector, additional authenticated data, galois-counter mode, biometrics, security, ciphertext, authtag
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OBIOKAFOR, IFEYINWA NKEMDILIM, Obiageli Chineze Ojibah, and Fidelis C. Obodoeze. "Enhanced Automated Biometric Web-Based Electronic Voting System for Nigeria." International Research Journal of Advanced Engineering and Science 3, no. 4 (2018): 6–13. https://doi.org/10.5281/zenodo.4642363.
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Nigeria’s electoral system has been fraught with several challenges from the time of changing from manual accreditation/voting to electronic voters’ accreditation/voting since March 2015. Prior to 2015, Nigeria has tried several voters’ registration and voting system, not limited to the manual open-ballot option-A4 brought about by the then General Ibrahim Babangida Administration in the 1990s or the secret ballot voting system introduced later by successive electoral commissions. Despite transiting from manual-based voters accreditation to electronic-based voters accreditation via the use of smart card reader (SCR) and Permanent Voter Card (PVC) in 2015 general elections introduced by then INEC Chairman Prof. Attahiri Jega, there are still issues relating to rigging, malfunctioning of the smart card readers, electoral violence, snatching of ballot papers, vote-buying, falsification of poll results, disenfranchisement of eligible registered voters and so on. All these anomalies still cast aspersion on the integrity of elections conducted by INEC – the Nigeria’s electoral umpire. This paper attempts to identify the problems associated with the Nigeria’s current electronic accreditation using biometric smart card readers (SCRs) and Permanent voters’ cards (PVCs) and subsequent manual(offline) voting. This paper introduced automated online/web-based voting system integrated with biometric authentication system to identify or accredit genuine registered voters. This new innovation will enable eligible voters to vote from anywhere irrespective of the electoral ward or polling unit they registered in. This new voting system will save cost, reduces ballot box snatching, vote buying and mass thumb printing; it will discourage bribery, corruption and electoral fraud amongst others. This innovation will give more chance for all registered voters to vote from any location using computers or devices connected to the internet. This can make the result of voting from several polling units to be collated simultaneously and in realtime and give authentic and accurate result devoid of bias and manipulation. This system was implemented using Java Server Pages (JSP), HTML with Tomcat web server for testing. This system worked fine according to system’s specification and functionality.
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Kumbhar, Mr Sanket. "A Review of Digital Voting Systems using Aadhar Authentication." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 1681–86. http://dx.doi.org/10.22214/ijraset.2023.56932.
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Abstract: Utilizing India's Aadhar system for secure and effective voter identification, a digital voting system with Aadhar authentication is an electronic voting mechanism. Voters use theirAadhar cards, which are connected to personal and biometric data, to authenticate themselves. With the preservation of data confidentiality and privacy, this system seeks to expedite the voting process, lessen voter fraud, and guarantee correct voter identification
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Ahmad, Masood, Ateeq Ur Rehman, Nighat Ayub, et al. "Security, usability, and biometric authentication scheme for electronic voting using multiple keys." International Journal of Distributed Sensor Networks 16, no. 7 (2020): 155014772094402. http://dx.doi.org/10.1177/1550147720944025.
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We propose electronic voting authentication scheme, which is a key management mechanism for electronic voting system intended to limit the number of attacks on a polling station and strengthen the security control. The motivation is to diversify security requirements of messages exchanged between polling stations. There are different types of messages exchanged between polling stations and each type of message has different security needs. A security mechanism developed on the basis of a single key is not enough to ensure the diverse security needs of voting network. In electronic voting authentication scheme, every polling station is responsible to support three different types of keys. These are global key, pairwise key, and individual key. The global keys are public keys shared with all polling stations in the voting network. The pairwise key can be used for communication with polling stations. Individual keys will be used for communication with the server. To ensure authentication of local broadcast, electronic voting authentication scheme uses one-way key chains in a well-organized way. The support of source authentication is a visible advantage of this scheme. We examine the authentication of electronic voting authentication scheme on numerous attack models. The measurement demonstrates that electronic voting authentication scheme is very operative in protecting against numerous elegant attacks such as wormhole attack, Sybil attack, and HELLO Flood attack. The proposed system is evaluated and the results demonstrate that the proposed system is practical and secure as compared to the direct recording electronic and manual systems.
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Sikki, Muhammad Ilyas, Sugi Guritman, and Hendra Rahmawan. "PENGEMBANGAN SISTEM E-VOTING DENGAN PROTOKOL TWO CENTRAL FACILITIES MENGGUNAKAN FINGERPRINT SEBAGAI OTENTIKASI VOTER." Jurnal Sistem Informasi 9, no. 2 (2014): 107. http://dx.doi.org/10.21609/jsi.v9i2.359.
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The e-voting system which developed using two central facilities protokol consist of three component that is voting machine as client for interaction with voter, central legitimization agency (CLA) as server voter authentication, and central tabulating facility (CTF) as server for result recapitulation voter vote count. Research in this paper just focused to voter authentication process on voting machine toward database of voter that stored in CLA with using fingerprint biometric technology. Fingerprint biometric technology used for voter registration process, voter verification process, and voter authentication process who will doing election. Registration process for acquiring voter fingerprint image database, verification process to be sure voter database can be verificated or not, and authentication process for voter authorization who can be permitted or not by system give of vote in election.
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Joni, Sohel Ahmed, Rabiul Rahat, Nishat Tasnin, Partho Ghose, Md Ashraf Uddin, and John Ayoade. "Hybrid-Blockchain-Based Electronic Voting Machine System Embedded with Deepface, Sharding, and Post-Quantum Techniques." Blockchains 2, no. 4 (2024): 366–423. http://dx.doi.org/10.3390/blockchains2040017.
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The integrity of democratic processes relies on secure and reliable election systems, yet achieving this reliability is challenging. This paper introduces the Post-Quantum Secured Multiparty Computed Hierarchical Authoritative Consensus Blockchain (PQMPCHAC-Bchain), a novel e-voting system designed to overcome the limitations of current Biometric Electronic Voting Machine (EVM) systems, which suffer from trust issues due to closed-source designs, cyber vulnerabilities, and regulatory concerns. Our primary objective is to develop a robust, scalable, and secure e-voting framework that enhances transparency and trust in electoral outcomes. Key contributions include integrating hierarchical authorization and access control with a novel consensus mechanism for proper electoral governance. We implement blockchain sharding techniques to improve scalability and propose a multiparty computed token generation system to prevent fraudulent voting and secure voter privacy. Post-quantum cryptography is incorporated to safeguard against potential quantum computing threats, future-proofing the system. Additionally, we enhance authentication through a deep learning-based face verification model for biometric validation. Our performance analysis indicates that the PQMPCHAC-Bchain e-voting system offers a promising solution for secure elections. By addressing critical aspects of security, scalability, and trust, our proposed system aims to advance the field of electronic voting. This research contributes to ongoing efforts to strengthen the integrity of democratic processes through technological innovation.
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Ercin, Berk, and Abdulkadir Karacı. "Real-Time Identification from Gait Features Using Cascade Voting Method." Applied Computer Systems 26, no. 2 (2021): 164–72. http://dx.doi.org/10.2478/acss-2021-0020.
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Abstract There are several biometric methods for identification. These are generally classified under two main groups as physiological and behavioural biometric methods. Recently, methods using behavioural biometric features have gained popularity. Identification made using gait pattern is also one of these methods. The present study proposes a machine learning based system performing identification in real time via gait features using a Kinect device. The data set is composed of 23 individuals’ skeleton model data obtained by the authors. From these data, 147 handcrafted features have been extracted. Deep Neural Network (DNN), Random Forest (RF), Gradient Boosting (GB), XG-Boost (XGB) and K-Nearest Neighbour (KNN) classifiers have been trained with these features. Furthermore, the output of these five machine learning models has been combined with a voting approach. The highest classification has been obtained with 97.5 % accuracy via a voting approach. The classification accuracies of the RF, DNN, XGB, GB and KNN classifiers are 95 %, 87.5 %, 85 %, 80 % and 65 %, respectively. The classification accuracy obtained via a voting approach is higher than in the previous studies. The developed system successfully performs real-time identification.