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Journal articles on the topic 'Fingerprint biometric'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

K., Krishna Prasad. "A Conceptual Study on Image Enhancement Techniques for Fingerprint Images." International Journal of Applied Engineering and Management Letters (IJAEML) 1, no. 1 (2017): 63–72. https://doi.org/10.5281/zenodo.831678.

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Biometrics is an emerging field of research in recent years and has been devoted to the identification of individuals using one or more intrinsic physical or behavioral traits. Fingerprints are the prominent and widely acceptable biometric features compared to face, speech, iris, and other types of biometrics. Fingerprint characteristic or features are unique for everyone and which cannot change throughout the lifetime. Fingerprint biometrics is having applications in diverse fields like attendance system, criminology, mobile applications and logical access control system. This is the purpose

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Tyagi, S., M. Kumar, D. Singh, and H. Tyagi. "Biometric Cryptosystem Based On Fingerprint Authentication And Cryptography Technique." International Research Journal of Parroha Multiple Campus (IRJPMC) 1, no. 1 (2023): 26–39. https://doi.org/10.5281/zenodo.10258787.

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<i>Biometric systems are one of the most reliable and popular techniques today and fingerprint authentication is one of the most reliable and robust biometric techniques due to its nature. The characteristics of fingerprints play a big and important role in the authentication of people. In this research, fingerprint authentication scheme consists of many stages: image enhancement, binarization, segmentation, spine thinning, detail extraction. In this authentication we use Gaussian filter for better result. Hybrid protection is created through a combination of biometrics and cryptography, such

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Madhav, Yagnasri, Dr S. China Venkateshwarlu, and Dr V. Siva Nagaraju. "Advanced Fingerprint Alteration Detection: A Comparative Analysis of Real and Synthetic Modifications Using InceptionV3 on the SOCOFing Dataset." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51223.

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This study investigates the efficacy of fingerprint alteration detection using advanced deep learning techniques, specifically focusing on both real and synthetically altered fingerprint images. Utilizing the Sokoto Coventry Fingerprint Dataset (SOCOFing), which comprises over 55,000 fingerprint images from 600 African subjects, we employed the Google InceptionV3 model to classify real and altered images under varying degrees of alteration complexity. Our experimental results demonstrate a robust performance of the model, achieving an accuracy of 91.04% for detecting alterations with easy alte

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Yu, Yirong, Qiming Niu, Xuyang Li, Jianshe Xue, Weiguo Liu, and Dabin Lin. "A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications." Micromachines 14, no. 6 (2023): 1253. http://dx.doi.org/10.3390/mi14061253.

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Identification technology based on biometrics is a branch of research that employs the unique individual traits of humans to authenticate identity, which is the most secure method of identification based on its exceptional high dependability and stability of human biometrics. Common biometric identifiers include fingerprints, irises, and facial sounds, among others. In the realm of biometric recognition, fingerprint recognition has gained success with its convenient operation and fast identif ication speed. Different fingerprint collecting techniques, which supply fingerprint information for f

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Fatamatuz, Ayasa Khan. "Improvement of Biometric Authentication System Applying Fingerprint." International Journal of Engineering Research & Science 4, no. 12 (2018): 19–26. https://doi.org/10.5281/zenodo.2529363.

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<strong><em>Abstract</em></strong><strong>—</strong><em>.</em><em>The biometric system plays an important role in everyone life. To identify one identity, the finger is one of many forms of the biometrics are generally used. The fingerprint is the verified function to identify a match between two person’s fingerprints. </em><em>Here a simple and effective system for biometric fingerprint based voter identity system has been proposed that is based on image enhancement and correct minutiae extraction. Automatic and reliable extraction of minutiae from fingerprint images is a critical

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Tyagi, Shivani, Manish Kumar, Dharambeer Singh, and Hariom Tyagi. "Biometric Cryptosystem Based On Fingerprint Authentication And Cryptography Technique." International Research Journal of Parroha Multiple Campus 1, no. 1 (2022): 26–39. http://dx.doi.org/10.61916/prmn.2023.v0101.004.

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Biometric systems are one of the most reliable and popular techniques today and fingerprint authentication is one of the most reliable and robust biometric techniques due to its nature. The characteristics of fingerprints play a big and important role in the authentication of people. In this research, fingerprint authentication scheme consists of many stages: image enhancement, binarization, segmentation, spine thinning, detail extraction. In this authentication we use Gaussian filter for better result. Hybrid protection is created through a combination of biometrics and cryptography, such as

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Jadaan Abed, Abdulrasool, and Dhahir Abdulhadi Abdullah. "An Automated Fingerprint Image Detection and Localization Approach-based Unsupervised Learning Algorithms using Low-quality Biometrics Plam Data." JOIV : International Journal on Informatics Visualization 8, no. 3-2 (2024): 1635. https://doi.org/10.62527/joiv.8.3-2.1665.

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In this study, fingerprint identification and classification of low-quality fingerprints have been analyzed accordingly. As technology advances and methodologies evolve, staying at the forefront of research and innovation is imperative. The challenges addressed in this paper provide a foundation for future investigations and underscore the importance of developing resilient and adaptable biometric systems for real-world applications. The quest for accurate, efficient, and robust fingerprint identification in adverse conditions is a testament to the continuous evolution and refinement of machin

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Bhatti, Kamran Ali, Dr Sajida Parveen, Nadeem Naeem Bhatti, Kamran Ali Larik, and Qurat-ul-ain Soomro. "Fingerprint liveness detection using dynamic local ternary pattern (DLTP)." VFAST Transactions on Software Engineering 12, no. 2 (2024): 123–31. http://dx.doi.org/10.21015/vtse.v12i2.1842.

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Nowadays, biometric confirmation systems are utilized for security applications such as verification and identification. There are various biometric modalities such as fingerprints, face recognition, and iris scans. Biometric systems are superior to PIN and password-based systems because the latter can be easily stolen or forgotten, whereas biometric traits are unique and difficult to replicate or forget. Among biometric modalities, fingerprint recognition is widely employed for security purposes due to the distinctiveness of each individual's fingerprint. However, fingerprint biometric system

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Abdulsattar, M. Ibrahim, K. Eesee Abdulrahman, and Rafi Omar Al-Nima Raid. "Deep fingerprint classification network." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 19, no. 3 (2021): 893–901. https://doi.org/10.12928/telkomnika.v19i3.18771.

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Fingerprint is one of the most well-known biometrics that has been used for personal recognition. However, faked fingerprints have become the major enemy where they threat the security of this biometric. This paper proposes an efficient deep fingerprint classification network (DFCN) model to achieve accurate performances of classifying between real and fake fingerprints. This model has extensively evaluated or examined parameters. Total of 512 images from the ATVS-FFp_DB dataset are employed. The proposed DFCN achieved high classification performance of 99.22%, where fingerprint images are suc

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Fatema, A. Shaikh*, and Prof.S.O.Rajankar. "BIOMETRIC AUTHENTICATION SYSTEM USING RPI." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 4 (2016): 839–44. https://doi.org/10.5281/zenodo.50420.

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A biometric authentication system acquires biometric sample such as fingerprint. The fingerprint signifies physiological features of an individual.This is a system which maintains the attendance records of students automatically. In this  designing of an efficient module that comprises of a fingerprint sensor to manage the attendance records of students. This module enrolls the student’s as well as staff’s fingerprints. This enrolling is a onetime process and their fingerprints will be stored in the fingerprint sensor. During enrolling of fingerprints alone requires a system s

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Nídlová, Veronika, and Jan Hart. "Reliability of Identification Based on Fingerprints in Dual Biometric Identification Systems." Applied Mechanics and Materials 752-753 (April 2015): 1040–44. http://dx.doi.org/10.4028/www.scientific.net/amm.752-753.1040.

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At present, the development of biometrics is a widely discussed topic. This research discusses the reliability of the most used category - identification using fingerprints. There are many of these types of systems. The most affordable, and therefore the most common alternative is one that identifies users using an optical sensor. Testing was conducted on two scanners only for fingerprints, and on two systems that recognize users via their fingerprints and also through a facial image. The conclusions from the measurements were that reliability was mainly affected by the characteristics of the

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Nilar, Htwe, and Naing Htwe Thet. "Image Processing Techniques for Fingerprint Identification and Classification - A Review." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 1744–47. https://doi.org/10.5281/zenodo.3591406.

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The major contributing factor to biometric technological advancements is fingerprints. Biometric authentication technology works completely for worker time management combined with the ability to acknowledge distinctive behavioral features. The growing popularity for period and enrollment of biometrics based platforms provides several advantages. These terminals can not only display fingerprints, but also some are intended to display the distinctive speech style, finger pattern, head form, or iris of a person. Image processing methods were the finest option for human administration to define f

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Yogita, Verma* Prof. Bhagwati Charan Patel. "FINGERPRINT DETECTION AND RECOGNIZATION TECHNIQUES USING GABOR FILTER." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 722–29. https://doi.org/10.5281/zenodo.801293.

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Fingerprints are most extensively and effectively appropriate for the proof of identity in present days. Mostly because of their uniqueness among the people, public acceptance, originality, stability through life, and their least risk of invasion. Fingerprint technology, which is basically a biometric system, is utilized to identify an individual based on their physical qualities. Fingerprint matching is the trendiest biometric method appropriate to provide authentication. Fingerprint verification is one of the most trustable biometric security system in the world of computers. In this paper w

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Wang, Feng. "Fusion Fingerprint and Face Multi-Biometrics Recognition Based on D-S Evidence Theory." Advanced Materials Research 459 (January 2012): 644–48. http://dx.doi.org/10.4028/www.scientific.net/amr.459.644.

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Single biometric feature has not meet people's needs. After analyzing fingerprints and face recognition technology, a fused theory is proposed which comprise fingerprints and face multi-biometrics features recognition based on D-S evidence theory. This article first analysis main part of the Face and Fingerprint Identification System, then gives a decision-making on integration in the face and fingerprint recognition method. In this paper we divide minutia features of fingerprint into certain and uncertain region which could make the performance of verification in certain region better than th

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Singh, Law Kumar, Munish Khanna, and Hitendra Garg. "Multimodal Biometric Based on Fusion of Ridge Features with Minutiae Features and Face Features." International Journal of Information System Modeling and Design 11, no. 1 (2020): 37–57. http://dx.doi.org/10.4018/ijismd.2020010103.

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Multimodal biometrics refers to the exploiting combination of two or more biometric modalities in an identification of a system. Fingerprint, face, retina, iris, hand geometry, DNA, and palm print are physiological traits while voice, signature, keystrokes, gait are behavioural traits used for identification by a system. Single biometric features like faces, fingerprints, irises, retinas, etc., deteriorate or change with time, environment, user mode, physiological defects, and circumstance therefore integrating multi features of biometric traits increase robustness of the system. The proposed

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Chandrakant P. Divate. "Design of Fingerprint-Based Gender Clustering Using Fuzzy C-Means Algorithm." Journal of Electrical Systems 20, no. 3s (2024): 1046–62. http://dx.doi.org/10.52783/jes.1419.

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Biometric systems, with fingerprint recognition as a cornerstone, play a crucial role in identity verification and access control. This paper introduces an innovative approach to gender clustering based on fingerprint data, leveraging the Fuzzy C-Means (FCM) algorithm. The proposed design aims to enhance the precision of gender classification by incorporating the inherent uncertainty in fingerprint features. Through the integration of FCM, which allows soft assignment of fingerprints to gender clusters, the system achieves a nuanced and adaptable classification. The study meticulously explores

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Rajasingh, J. Paul, and D. Sai Yaswanth. "Fingerprint Authentication." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 87–89. http://dx.doi.org/10.35940/ijeat.e2651.0610521.

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Biometrics refers to the automatic identification of a living person based on physiological or behavioural characteristics for authentication purpose. Among the existing biometric technologies are the face recognisation, fingerprint recognition, finger-geometry, hand geometry, iris recognition, vein recognition, voice recognition and signature recognition, Biometric method requires the physical presence of the person to be identified. This emphasizes its preference over the traditional method of identifying what you have such as, the use of password, a smartcard etc. Also, it potentially preve

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J, Paul Rajasingh, and Sai Yaswanth D. "Fingerprint Authentication." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 5 (2021): 87–89. https://doi.org/10.35940/ijeat.E2651.0610521.

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Biometrics refers to the automatic identification of a living person based on physiological or behavioural characteristics for authentication purpose. Among the existing biometric technologies are the face recognisation, fingerprint recognition, finger-geometry, hand geometry, iris recognition, vein recognition, voice recognition and signature recognition, Biometric method requires the physical presence of the person to be identified. This emphasizes its preference over the traditional method of identifying what you have such as, the use of password, a smartcard etc. Also, it potentially preve

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KHUWAJA, GULZAR A., and A. N. ABU-REZQ. "DATA ACQUISITION AND RECOGNITION OF FINGERPRINTS WITH LVQ." International Journal of Computational Intelligence and Applications 03, no. 01 (2003): 65–88. http://dx.doi.org/10.1142/s1469026803000811.

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A typical biometric system has three distinct phases. These are biometric data acquisition, feature extraction, and decision-making. The first step, the acquisition phase, is extremely important. If high quality images are not obtained, the next phase cannot operate reliably. Fingerprint recognition remains as one of the most prominent biometric identification methods. In this paper, we develop a prototype optical-based fingerprints data acquisition system using a CCD digital still camera to capture a complete impression of finger area required for accurately identifying an individual and pres

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Algarni, Mohammad Η. "Fingerprint Sequencing: An Authentication Mechanism that Integrates Fingerprints and a Knowledge-based Methodology to Promote Security and Usability." Engineering, Technology & Applied Science Research 14, no. 3 (2024): 14233–39. http://dx.doi.org/10.48084/etasr.7250.

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Biometric authentication stands at the forefront of modern security measures, offering a highly sophisticated and reliable method for identity verification. Biometrics aims to identify an individual’s identity by comparing specific characteristics against a stored template. Unlike traditional passwords or PINs, which can be forgotten, shared, or stolen, biometric authentication relies on unique biological or behavioral traits that are inherent to each individual. The current article introduces the innovative concept of multi-fingerprint sequence authentication process to verify users. In contr

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N, Nithiya. "Automatic License Checking Using Fingerprint." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3440–42. https://doi.org/10.22214/ijraset.2025.68994.

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Driving license verification framework is a serious issue in many countries. therefore, the biometric based driving license verification framework is employed because it's exceedingly simple and beneficial to screen. Biometrics suggests approximation regarding mortal traits. Biometrics proof (or reasonable countersign) is utilized in programming as a type of ID and access control. It's also used to perceive individuals in groups that are in perception. Biometric identifiers are also visible, quantifiable characteristics used to marker and characterize individuals. Biometric identifiers are con

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MISS, RATHOD LEENA ANIL, and MANTRI D. B. PROF. "COMBINATION OF FINGERPRINT FOR PRIVACY PROTECTION." JournalNX - A Multidisciplinary Peer Reviewed Journal 3, no. 4 (2017): 16–19. https://doi.org/10.5281/zenodo.1452093.

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 Biometric refers to the authentication technique which depends on the measurement and statistical analysis of peopleâ€™s physical and behavioral characteristics. Among all the biometric technique fingerprint identification is consider as most reliable technique as every individual has unique fingerprint. But as fingerprint technique is used in many authentication systems so protecting it becomes an important issue. Here a system is shown to protect the privacy of fingerprint by combining two different fingerprints into a new virtual identity. In enrollment phase, extract

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Barzut, Srđan, Milan Milosavljević, Saša Adamović, Muzafer Saračević, Nemanja Maček, and Milan Gnjatović. "A Novel Fingerprint Biometric Cryptosystem Based on Convolutional Neural Networks." Mathematics 9, no. 7 (2021): 730. http://dx.doi.org/10.3390/math9070730.

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Modern access controls employ biometrics as a means of authentication to a great extent. For example, biometrics is used as an authentication mechanism implemented on commercial devices such as smartphones and laptops. This paper presents a fingerprint biometric cryptosystem based on the fuzzy commitment scheme and convolutional neural networks. One of its main contributions is a novel approach to automatic discretization of fingerprint texture descriptors, entirely based on a convolutional neural network, and designed to generate fixed-length templates. By converting templates into the binary

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Mradula, Jain, and Khurana Anshul. "Overview of Biometric Fingerprint Identification." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 2721–25. https://doi.org/10.31142/ijtsrd14101.

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Fingerprint identification of a person is widely used in all over the world, as there are no two fingerprints like. Authentication and validation of an individual is done with the help of various factors like signature, user ids and passwords, palm, fingerprint, face, voice, heart beat, iris, etc. The fingerprint technique is advantageous for such recognition as compared to other techniques. This paper is a brief review in the field of fingerprint identification. The aim of this paper is to review various latest minutiae based, correlation based and other global, local methods for fingerprint

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K. P. Ajitha, Gladis, and D. Sharmila. "Systematic digital signal processing approach in various biometric identification." i-manager's Journal on Digital Signal Processing 10, no. 2 (2022): 7. http://dx.doi.org/10.26634/jdp.10.2.19290.

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Biometrics are unique physical characteristics, such as fingerprints, that can be used for automatic recognition. Biometric identifiers are often classified as physiological characteristics associated with body shape. The goal is to capture a piece of biometric data from that person. It could be a photograph of their face, a recording of their voice, or a picture of their fingerprints. While there are numerous types of biometrics for authentication, the six most common are facial, voice, iris, near-field communication, palm or finger vein patterns, and Quick Response (QR) code. Biometrics is a

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Kirvel, Vitali. "Fingerprint analysis (AFIS) and biometric system of identification by fingerprints: issue of artificial papillary pictures." Общество и инновации 1, no. 3 (2021): 129–45. http://dx.doi.org/10.47689/2181-1415-vol1-iss3-pp129-145.

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The article discusses the theoretical and applied aspects, as well as prospects for the development of fingerprint examination, fingerprint records (automated fingerprint identification systems-AFIS) in the disclosure and uncovering of crimes, as well as biometric identification systems by fingerprints to protect personal data, control access to corporate and personal information, time tracking in the information sector of the economy. The paper presents methods form an ufacturing models with artificial papillary patterns (falsification of papillary patterns of fingerprints), the results

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Mohamed, El Beqqal, Azizi Mostafa, and Louis Lanet Jean. "Multimodal access control system combining RFID, fingerprint and facial recognition." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 405–13. https://doi.org/10.11591/ijeecs.v20.i1.pp405-413.

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Monomodal biometry does not constitute an effective measure to meet the desired performance requirements for large-scale applications, due to limitations such as noisy data, restricted degree of freedom and unacceptable error rates. Some of these problems can be solved through multimodal biometric systems that involve using a combination of two or more biometric modalities in a single identification system. Identification based on multiple biometrics represents an emerging trend. The reason for combining different modalities is to improve the recognition rate. In practice, multi-biometric aims

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Thian Song, Ong, Andrew Teoh Beng Jin, and Tee Connie. "Personalized biometric key using fingerprint biometrics." Information Management & Computer Security 15, no. 4 (2007): 313–28. http://dx.doi.org/10.1108/09685220710817824.

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Voznyi, Yaroslav, Mariia Nazarkevych, Volodymyr Hrytsyk, Nataliia Lotoshynska, and Bohdana Havrysh. "DESIGN OF BIOMETRIC PROTECTION AUTHENTIFICATION SYSTEM BASED ON K-AVERAGE METHOD." Cybersecurity: Education, Science, Technique 12, no. 4 (2021): 85–95. http://dx.doi.org/10.28925/2663-4023.2021.12.8595.

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The method of biometric identification, designed to ensure the protection of confidential information, is considered. The method of classification of biometric prints by means of machine learning is offered. One of the variants of the solution of the problem of identification of biometric images on the basis of the k-means algorithm is given. Marked data samples were created for learning and testing processes. Biometric fingerprint data were used to establish identity. A new fingerprint scan that belongs to a particular person is compared to the data stored for that person. If the measurements

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D.Deepakraj. "An Efficient Automatic Fingerprint Authentication System Using a Template Protection Technique." Journal of Information Systems Engineering and Management 10, no. 2s (2025): 140–49. https://doi.org/10.52783/jisem.v10i2s.208.

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The disclosure of biometric template data is one of the possible weaknesses in a biometric system, posing major security and privacy risks. The majority of template protection methods on the market fall short of meeting all the necessary specifications for a workable biometric system, including high matching accuracy, security, privacy, and revocability. Research on automated fingerprint-based identification began in the early 1960s since fingerprints have been a vital tool for forensics and law enforcement for more than a century. Our proposal includes a system that uses extraction of minutia

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Hashem, Mithak Ibrahim, and Kadhim Hasen Kuban. "Key generation method from fingerprint image based on deep convolutional neural network model." Nexo Revista Científica 36, no. 06 (2023): 906–25. http://dx.doi.org/10.5377/nexo.v36i06.17447.

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Biometrics effect our live. Security applications employ biometrics. Biometric encryption is growing. Encryption requires biometric key creation. Long, random, and unexpected is the key. Information and communication security research emphasizes long, strong encryption keys. The proposed system uses fingerprint biometrics to generate a long, random biometric encryption key for symmetric encryption. Pre-processing removed noise from donor fingerprint images in the dataset. The program then trains an updateable Tuned VGG-16 convolutional neural network model and tests it on fingerprint images to

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Sharma, Tushar, and Upinder Kaur. "Biometric Security: A Review to Future." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 3758–68. http://dx.doi.org/10.47059/revistageintec.v11i4.2405.

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This paper presents the different biometric with their limitations and introduces their alternative in form of brain biometric, Breath biometrics, and Tongue biometrics. Brain biometric uses brain wave while breath biometric uses one’s breath and tongue biometric uses a tongue’s shape and variation to distinguish them and present a good alternative for the presently used biometric like fingerprint, iris recognition, face recognition.

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Joy, Angel, and Sumit Kumar Choudhary. "Performance evaluation and forensic examination of common fingerprint spoofing materials." Problems of Forensic Sciences, no. 138 (October 10, 2024): 123–35. http://dx.doi.org/10.4467/12307483pfs.24.008.20181.

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Fingerprints are the most common evidence found at crime scenes and the most relevant biometric feature for personal identification. The persistence and uniqueness of fingerprints make them one of the most definitive biometric traits, which has led to their wide promotion in secure identity recognition systems. Due to its reliability, it is imperative to maintain its authenticity. The common usage of fingerprinting systems across the world in almost all kind of organizational set-ups have encouraged criminals to turn to fingerprint spoofing and a few other means to break through identity-based

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Pani, M. Srujan, K. Manideep, R. Rakesh, T. Swapna, and Dr S. N. Chandrashekhar. "Biometric Vehicle Ignition System." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 385–89. http://dx.doi.org/10.22214/ijraset.2022.46160.

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Abstract: The project's purpose is to develop a smart ignition security system. A fingerprint sensor is used for motorcycle access in the proposed system, and a relay will be used for controlling ignition. The fingerprint sensor is a dependable fingerprint sensor that collects accurate fingerprint data. For added convenience and security, it's designed to fit inside electrical devices. The device, which is secure, fast, and easy to use, replaces credentials, PINs, and other types of user authentication. The system's principal controlling device is a microcontroller. A fingerprints sensor, a re

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Tsibong, Selvia Lem. "Biometric Identification System: A Step Towards Better Crime Control in Cameroon." Scholars International Journal of Law, Crime and Justice 8, no. 06 (2025): 116–28. https://doi.org/10.36348/sijlcj.2025.v08i06.001.

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This study examines biometric identification system as a step towards better crime control in Cameroon, with particular interest to fingerprint biometrics, DNA identification, facial recognition as well as their respective data bases. Cameroon’s biometric identification system is a government initiative aimed at enhancing identity management, security, and access to services through the use of biometric technologies. Fingerprint biometrics, DNA identification and facial recognition technologies are used in Cameroon for crime control. Their respective databases are, however, not well developed

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Bercelin, Rose Mary W., N. Subbulakshmi, and Tofflin R. Bini. "Fingerprint Combination of Privacy Preservation is Improved by Delaunay Triangulation Method." Applied Mechanics and Materials 573 (June 2014): 437–41. http://dx.doi.org/10.4028/www.scientific.net/amm.573.437.

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Fingerprints are graphical ridge and valley patterns on the tips of human fingers. Owing to their uniqueness and permanence, the use of fingerprints is considered to be one of the most reliable methods of personal verification. Fingerprints are today among the most popularly used biometric modalities in automatic verification systems. At the same time, Protecting the privacy of Fingerprint is an important one, here a novel system propose protecting fingerprint by combining two different fingerprints. In the enrolment stage, fingerprints will be captured from two different fingers. Minutiae pos

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Maheshwari, Uma, and Kalpana Kalpana. "Multimodal Image Fusion in Biometric Authentication." Fusion: Practice and Applications 1, no. 2 (2020): 79–91. http://dx.doi.org/10.54216/fpa.010203.

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During this study, a unique multimodal biometric system was constructed. This system incorporated a variety of unimodal biometric inputs, including fingerprints, palmprints, knuckle prints, and retina images. The multimodal system generated the fused template via feature-level fusion, which combined several different biometric characteristics. The Gabor filter extracted the features from the various biometric aspects. The fusion of the extracted information from the fingerprint, knuckle print, palmprint, and retina into a single template, which was then saved in the database for authentication

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Waghmode,, Mahesh N. "Raspberry Pi Enabled Biometric Attendance System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34994.

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The precision and ease of use of the BIOMETRIC Attendance System draw many users to it among the many real-time apps available today. The development of an attendance system based on fingerprints was a significant difficulty. This method proposes to use a Raspberry Pi running Linux as the attendance system. The procedure starts with the generation of the database using a fingerprint reader and continues with the system-provided recognition and authentication. The Raspberry Pi platform is used for the entire procedure. The standardized fingerprint authentication approach, which can extract an i

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Burganova, Tanzilya, Dilyara Fakhreeva, and Nail Fakhreev. "Method of two-factor authentication of electronic documents using enhanced encrypted non-certified digital signature with the use of security token with biometric data." Telfor Journal 15, no. 2 (2023): 50–55. http://dx.doi.org/10.5937/telfor2302050b.

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The purpose of this study is to develop a method for two-factor authentication of electronic documents using an enhanced encrypted non-certified digital signature with the use of a security token with biometric data (fingerprint image). In order to achieve the goal, the method of comparative analysis was used. Existing algorithms for the electronic signature operation were studied. The method of multi-factor authentication of an electronic signature using biometric data has been studied in detail. Biometric data included: a handwritten password, an autograph, typing biometrics when typing a pa

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A. El_Rahman, Sahar, and Ala Saleh Alluhaidan. "Enhanced multimodal biometric recognition systems based on deep learning and traditional methods in smart environments." PLOS ONE 19, no. 2 (2024): e0291084. http://dx.doi.org/10.1371/journal.pone.0291084.

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In the field of data security, biometric security is a significant emerging concern. The multimodal biometrics system with enhanced accuracy and detection rate for smart environments is still a significant challenge. The fusion of an electrocardiogram (ECG) signal with a fingerprint is an effective multimodal recognition system. In this work, unimodal and multimodal biometric systems using Convolutional Neural Network (CNN) are conducted and compared with traditional methods using different levels of fusion of fingerprint and ECG signal. This study is concerned with the evaluation of the effec

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D., Rohini, Pooja A., Sindhu, and Hifsa Naaz Syeda. "Beyond Blood Tests: Using Deep Learning to Identify Blood Groups through Fingerprint Analysis." Journal of Advance Research in Mobile Computing 7, no. 2 (2025): 7–15. https://doi.org/10.5281/zenodo.15123240.

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<em>Particularly in an emergency where fast identification is needed, medical diagnostics depend on exact and non-invasive blood group detection. Conventional blood type techniques involving serological analysis ask for direct blood samples and might be time-consuming. Aside from creating new opportunities for quick, contactless blood group identification, this work advances biometric-based medical diagnostics. Because of their tenacity and individuality, fingerprints possessing their distinct ridge patterns have always been utilized in biometric identification. By offering a rapid, reasonably

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K., Krishna Prasad, and S. Aithal P. "A STUDY ON MULTIFACTOR AUTHENTICATION MODEL USING FINGERPRINT HASH CODE, PASSWORD AND OTP." International Journal of Advanced Trends in Engineering and Technology 3, no. 1 (2018): 1–11. https://doi.org/10.5281/zenodo.1135255.

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By definition, Authentication is using one or multiple mechanisms to show that you are who you claim to be. As soon as the identity of the human or machine is demonstrated, then human or machine is authorized to grant some services. The modern research study reveals that fingerprint is not so secured like secured a password which consists of alphanumeric characters, number and special characters. Fingerprints are left at crime places, on materials or at the door which is usually class of latent fingerprints. We cannot keep fingerprint as secure like rigid passwords. Using some modern technolog

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Channegowda, Arjun Benagatte, and H. N. Prakash. "Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learning techniques." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 187. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp187-195.

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Providing security in biometrics is the major challenging task in the current situation. A lot of research work is going on in this area. Security can be more tightened by using complex security systems, like by using more than one biometric trait for recognition. In this paper multimodal biometric models are developed to improve the recognition rate of a person. The combination of physiological and behavioral biometrics characteristics is used in this work. Fingerprint and signature biometrics characteristics are used to develop a multimodal recognition system. Histograms of oriented gradient

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Channegowda, Arjun Benagatte, and H. N. Prakash. "Multimodal biometrics of fingerprint and signature recognition using multi-level feature fusion and deep learning techniques." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 187–95. https://doi.org/10.11591/ijeecs.v22.i1.pp187-195.

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Providing security in biometrics is the major challenging task in the current situation. A lot of research work is going on in this area. Security can be more tightened by using complex security systems, like by using more than one biometric trait for recognition. In this paper multimodal biometric models are developed to improve the recognition rate of a person. The combination of physiological and behavioral biometrics characteristics is used in this work. Fingerprint and Signature biometrics characteristics are used to develop a multimodal recognition system. Histograms of oriented gradient

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Esekhaigbe, Emmanuel, and Emmanuel O. Okoduwa. "Design and implementation of a fingerprint-based biometric access control system." Journal of Advances in Science and Engineering 7, no. 1 (2022): 18–23. http://dx.doi.org/10.37121/jase.v7i1.183.

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Security systems are often penetrated by sophisticated criminals, thus there is always a need for new solutions to be devised to give sufficient security to houses and other locations. The goal of this project is to build and deploy a fingerprint-based biometric access control system. The fingerprint is a pattern of ridges and valleys on the surface of a fingertip. Among various biometrics, fingerprint recognition is the most extensively and internationally accepted biometric because of its uniqueness, accuracy, cost-effectiveness, non-transferability, and ease of use. Presented is the system

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Mishra, Shalabh Kumar, Satyvir Singh, Ashu Soni, et al. "Development and deployment of a biometric fingerprint lock system." Journal of Information and Optimization Sciences 46, no. 1 (2025): 253–62. https://doi.org/10.47974/jios-1869.

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Security remains a paramount concern in both residential and office settings, prompting the exploration of various solutions. Existing door lock systems often exhibit vulnerabilities that compromise security, raising apprehensions about a safe lifestyle and conducive work environment. Moreover, contemporary challenges, such as terrorism and unauthorized access, underscore the urgency of implementing robust security measures, especially in shared-access spaces. This paper introduces the design and prototype of a biometric fingerprint door lock system tailored for joint access environments. Fing

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Stanton, Brian, Mary Theofanos, Shahram Orandi, Ross Micheals, and Nien-Fan Zhang. "Effects of Scanner Height on Fingerprint Capture." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 10 (2007): 592–96. http://dx.doi.org/10.1177/154193120705101005.

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Although the deployment of biometric technologies such as fingerprints is becoming more widespread, little attention is being paid to the human-computer interaction that such technologies involve. Most biometric systems employ both hardware and software measures to maximize the capture quality of the biometric data. The physical presentation of the biometric data by the participant to the system involves many anthropometric and ergonomic factors that have been largely ignored. This study examined the effect of the height of the sensor on the quality and the time required to collect fingerprint

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Hebaishy, Mohamed A., and Fathy A. Syam. "Fast Fingerprint Identification based on the DoG Filter." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 21 (March 31, 2025): 19–24. https://doi.org/10.37394/232014.2025.21.3.

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Biometric recognition is the study of recognizing individuals through their distinct physiological or behavioral traits, which encompass iris, facial features, fingerprints, retina patterns, vein structures, hand geometry, handwriting, human gait, signatures, keystrokes, and vocal characteristics. Fingerprint images comprise various whorls, arches, loops, ridge ends, and ridge bifurcations on each digit. The extraction of these features with some transformations can uniquely identify an individual. Fingerprints are extensively utilized in numerous biometric identification systems; finger scann

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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 democ

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Chiroma, Haruna. "Deep Learning Algorithms based Fingerprint Authentication: Systematic Literature Review." Journal of Artificial Intelligence and Systems 3, no. 1 (2021): 157–97. http://dx.doi.org/10.33969/ais.2021.31010.

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Deep Learning algorithms (DL) have been applied in different domains such as computer vision, image detection, robotics and speech processing, in most cases, DL demonstrated better performance than the conventional machine learning algorithms (shallow algorithms). The artificial intelligence research community has leveraged the robustness of the DL because of their ability to process large data size and handle variations in biometric data such as aging or expression problem. Particularly, DL research in automatic fingerprint recognition system (AFRS) is gaining momentum starting from the last

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