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Journal articles on the topic 'Biometric Recognition System'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Mudhafer Taher Al Mossawy, Mais, and Loay E. George. "A digital signature system based on hand geometry - Survey." Wasit Journal of Computer and Mathematics Science 1, no. 1 (2022): 1–14. http://dx.doi.org/10.31185/wjcm.vol1.iss1.18.

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In recent years large number of emerging automated applications faces the need to have recognition abilities of persons using their own self biometrics, before they can access the applications services. Nowadays, Biometric recognition is used, it can be used as automatic identification or automatic verification of persons based on their physiological or behavioral characteristics. There are no perfect biometric measurements;each biometry has its advantages and limitations. Each biometry requires specific vital identity to answer the identification or verification question. The suitability of a

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2

Rajvanshi, Saumya, Shiv Chauhan, and Savneet Kaur. "A New Wave in Biometric System: Systematic Study." CGC International Journal of Contemporary Technology and Research 4, no. 2 (2022): 300–305. http://dx.doi.org/10.46860/cgcijctr.2022.07.31.300.

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Biometric system is a technique used to identify a person using its personal identification methods. The main concept of biometric systems is to provide confidentiality and security to the user. A number of biometric systems are introduced but some systems are widely used and are famous because of their usage and security they provide. Physiological and Behavioral biometrics are the two types of biometric systems. Biometric systems include physiological biometrics like face recognition, fingerprint recognition, iris recognition and behavioral biometrics like signature recognition and voice rec

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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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Gupta, Ms Neha. "A New Wave in Biometric System: Systematic Study incorporated with Artificial Intelligence." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33563.

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Biometric system is a technique used to identify a person using its personal identification methods. The main concept of biometric systems is to provide confidentiality and security to the user. A number of biometric systems are introduced but some systems are widely used and are famous because of their usage and security they provide. Physiological and Behavioral biometrics are the two types of biometric systems. Biometric systems include physiological biometric like face recognition, finger print recognition, ir is recognition and behavioral biometrics like signature recognition and voice re

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Singh, Law Kumar, Munish Khanna, Shankar Thawkar, and Jagadeesh Gopal. "Robustness for Authentication of the Human Using Face, Ear, and Gait Multimodal Biometric System." International Journal of Information System Modeling and Design 12, no. 1 (2021): 39–72. http://dx.doi.org/10.4018/ijismd.2021010103.

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Biometrics is the science that deals with personal human physiological and behavioral characteristics such as fingerprints, handprints, iris, voice, face recognition, signature recognition, ear recognition, and gait recognition. Recognition using a single trait has several problems and multimodal biometrics system is one of the solutions. In this work, the novel and imperative biometric feature gait is fused with face and ear biometric features for authentication and to overcome problems of the unimodal biometric recognition system. The authors have also applied various normalization methods t

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Mushtaque, Ahmed. "BIOMETRICS SYSTEM ACKNOWLEDGEMNT BASED ON DATA FUSION." International Journal of Research – Granthaalayah 4, no. 3 (2017): 85–91. https://doi.org/10.5281/zenodo.847003.

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In these days lot of systems have need an efficient and reliable biometrics recognition system. By considering the importance of biometric systems in global world, in this paper we are discussing the importance of a new era of verification. Applications of Biometric systems in accordance to Data fusion and what is the future of biometric systems.

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Alam, Varisha. "Ordering of Huge Biometric Information in Database System." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 2 (2021): 1–19. http://dx.doi.org/10.54060/jieee/002.02.011.

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The word biometrics is derived from the Greek words 'bios' and 'metric' which means living and calculation appropriately. Biometrics is the electronic identification of individuals based on their physiological and biological features. Biometric attributes are data take out from biometric test which can be used for contrast with a biometric testimonial. Biometrics composed methods for incomparable concede humans based upon one or more inherent material or behavioral characteristics. In Computer Science, bio-metrics is employed as a kind of recognition access management and access command. Biome

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., Himanshi, Trisha Gulati, and Yasha Hasija. "Biometrics in Healthcare." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 2 (2018): 13–17. http://dx.doi.org/10.35121/ijapie201804223.

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Biometrics is the discipline to measure physical human characteristics for the identification and authentication of an individual. Since ancient times, people have used voice, face, and other characteristics for the identification of an individual. With evolution, we take the individual characteristics like fingerprint scans, retina and iris images, etc., as inputs to the computer systems and then store or verify them with existing records. This report discusses biometrics and its recent roles found in the field of healthcare, medicine, genetics, and biotechnology. It includes the concept of b

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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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R., Parimala, and Jayakumar C. "Ear Biometrics- An Alternative Biometric." International Journal of Computer Science and Engineering Communications 1, no. 1 (2013): 54–61. https://doi.org/10.5281/zenodo.821762.

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This paper is one of the parts of a biometric based identity verification security system development project. Today, the most successful biometric based identification technologies such as fingerprint and iris scan are used worldwide in both criminal investigations and high security facilities. Even though Face recognition is one of the developing biometric methods; illumination, makeup, posing, emotional expressions and face-lifting reduce the success of face recognition. A new biometric which is not effected by any of the factors above is needed. The alternative biometric should overcome th

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Raniah, Ali Mustafa, and Salman Chyad Haitham. "Subject Review: Securing Iris Authentication System." International Journal of Computer Science and Mobile Applications (IJCSMA) 10, no. 8 (2022): 1–9. https://doi.org/10.5281/zenodo.6971062.

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Two components are available from a biometric system: authentication and verification. Both of these features must be utilized at the same time by the biometric authentication methods, which must be rigorous enough to support them. The use of biometrics as a key is intended to boost more effective security manner, reducing identification errors caused by human, improve user convenience, and automate security functions. Recognition of iris patterns is one of the most precise biometric authentication techniques. In essence, A biometric identification and authentication method is iris recognition

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Ayanaba, Rasheed Abubakar. "Image-assisted Biometric Identification." Advances in Multidisciplinary and scientific Research Journal Publication 1, no. 1 (2022): 131–38. http://dx.doi.org/10.22624/aims/crp-bk3-p22.

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Biometrics is a rapidly developing technology that has seen widespread use in forensics applications such as criminal identification, secure access, and prison security. A biometric system is a pattern recognition system that recognizes a person by determining the authenticity of a physiological and/or behavioural feature that that person possesses. One of the most widely accepted biometrics utilized by humans in their visual interactions is image- assisted based (facial) biometric. Image-assisted biometric identification is the use of face recognition technology in capturing image of a unique

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Joseph, Annie Anak, Alex Ng Ho Lian, Kuryati Kipli, et al. "Person Verification Based on Multimodal Biometric Recognition." Pertanika Journal of Science and Technology 30, no. 1 (2021): 161–83. http://dx.doi.org/10.47836/pjst.30.1.09.

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Nowadays, person recognition has received significant attention due to broad applications in the security system. However, most person recognition systems are implemented based on unimodal biometrics such as face recognition or voice recognition. Biometric systems that adopted unimodal have limitations, mainly when the data contains outliers and corrupted datasets. Multimodal biometric systems grab researchers’ consideration due to their superiority, such as better security than the unimodal biometric system and outstanding recognition efficiency. Therefore, the multimodal biometric system bas

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Shihab A. Shawkat and Raya N. Ismail. "Biometric Technologies in Recognition Systems: A Survey." Tikrit Journal of Pure Science 24, no. 6 (2019): 132–37. http://dx.doi.org/10.25130/tjps.v24i6.449.

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The ability to recognize people uniquely and to associate personal attributes such as name and nationality with them has been very important to the fabric of human society. Nowadays, modern societies have an explosion in population growth and increased mobility which necessitated building advanced identity management systems for recording and maintaining people’s identities. In the last decades, biometrics has played an important role in recognizing people instead of traditional ways such as passwords and keys which can be forgotten or be stolen. Biometric systems employ physiological and/or b

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Ghadeer, Ibrahim Maki, and Basim Abed Sarah. "Multimodal Biometric System Fusion Using Fingerprint and Iris with Convolutional Neural Network." Engineering and Technology Journal 9, no. 09 (2024): 5140–47. https://doi.org/10.5281/zenodo.13768197.

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Biometric sensing technology became everyday life frequent component as a result of world requirement for info security and safety legislation. A strong and efficient individual authentication has appeared because of new developments in multimodal biometrics. Multimodal biometrics integrates different biological traits in trying for creating considerable effect on identification performance. Latent fingerprint biometrics refer to effective human identification system for criminals given the accessible crime evidence shreds. Although, biometric trait restrictions like intra-class variation, sen

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Shawkat1, Shihab A., and Raya N. Ismail2. "Biometric Technologies in Recognition Systems: A Survey." Tikrit Journal of Pure Science 24, no. 6 (2019): 132. http://dx.doi.org/10.25130/j.v24i6.899.

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The ability to recognize people uniquely and to associate personal attributes such as name and nationality with them has been very important to the fabric of human society. Nowadays, modern societies have an explosion in population growth and increased mobility which necessitated building advanced identity management systems for recording and maintaining people’s identities. In the last decades, biometrics has played an important role in recognizing people instead of traditional ways such as passwords and keys which can be forgotten or be stolen. Biometric systems employ physiological and/or b

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OMOTOSHO, LAWRENCE, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, and JOSHUA OYENIYI. "AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK." Journal of Engineering Studies and Research 27, no. 2 (2021): 73–81. http://dx.doi.org/10.29081/jesr.v27i2.276.

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Multimodal biometric system combines more than one biometric modality into a single method in order, to overcome the limitations of unimodal biometrics system. In multimodal biometrics system, the utilization of different algorithms for feature extraction, fusion at feature level and classification often to complexity and make fused biometrics features larger in dimensions. In this paper, we developed a face-iris multimodal biometric recognition system based on convolutional neural network for feature extraction, fusion at feature level, training and matching to reduce dimensionality, error ra

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Srivastava, Prateek, and Rohit Srivastava. "A Multimodal Based Approach for Face and Unique Mark Based Combination for Confirmation of Human." International Journal of Business Analytics 6, no. 3 (2019): 16–28. http://dx.doi.org/10.4018/ijban.2019070102.

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Biometric processes are utilized for recognition and distinguishing a person for different applications. The procedure is made possible by utilizing single biometric highlight or a mix of biometric highlights. In the event that the distinguishing proof is finished by utilizing a solitary biometric highlight (confront, iris, finger, palm, and so forth) then the framework is called unimodal, and if a combnation of biometrics are utilized then it is called multimodal. In a multimodal framework compared to the different downsides of a unimodal framework (noisy data, multiple vectors and so forth)

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K. Selsiya, Dr. D. Banumathy, Nijanthan, and Dr. G. Madasamyraja. "Person Authentication System Using Multimodal Biometrics." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 3 (2024): 276–80. http://dx.doi.org/10.32628/ijsrset24113129.

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Biometrics is the automated process used to recognize human by measuring their behavioural and physiological characteristics. Biometrics are generally used either for verification The use of biometric for identification purposes requires that a particular biometric factor be unique for each individual that it can be calculated, and that it is invariant over time. Biometrics such as signatures, photographs, fingerprints, voiceprints and retinal blood vessel patterns all have noteworthy drawbacks. Although signatures and photographs are cheap and easy to obtain and store, they are impossible to

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Oh, Junhyoung, Ukjin Lee, and Kyungho Lee. "Usability Evaluation Model for Biometric System considering Privacy Concern Based on MCDM Model." Security and Communication Networks 2019 (March 27, 2019): 1–14. http://dx.doi.org/10.1155/2019/8715264.

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Biometric devices play an integral role in consumer’s daily life, providing a seamless environment. However, it is essential to measure the usability of biometrics, owing to the elements of biometrics satisfying both usability and security. This study redefines the elements of biometrics pertaining to usability determined in previous studies and adds elements of psychological relevance, such as privacy concerns. To organize the interrelated usability structure systemically, this paper applies the DEcision MAking Trial and Evaluation Laboratory (DEMATEL) to derive the usability structure. There

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Marattukalam, Felix, Waleed Abdulla, David Cole, and Pranav Gulati. "Deep Learning-Based Wrist Vascular Biometric Recognition." Sensors 23, no. 6 (2023): 3132. http://dx.doi.org/10.3390/s23063132.

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The need for contactless vascular biometric systems has significantly increased. In recent years, deep learning has proven to be efficient for vein segmentation and matching. Palm and finger vein biometrics are well researched; however, research on wrist vein biometrics is limited. Wrist vein biometrics is promising due to it not having finger or palm patterns on the skin surface making the image acquisition process easier. This paper presents a deep learning-based novel low-cost end-to-end contactless wrist vein biometric recognition system. FYO wrist vein dataset was used to train a novel U-

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Shinde, Krishna, and Sumegh Tharewal. "Development of Face and Signature Fusion Technology for Biometrics Authentication." International Journal of Emerging Research in Management and Technology 6, no. 9 (2018): 61. http://dx.doi.org/10.23956/ijermt.v6i9.86.

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The Biometrics system is getting popularity since last decade As per Information Technology industry demand. This techn-ology are satisfy authentication and authorization process needs. But the unimodal biometric system have own limitations. the limitation of unimodal, we can choosing the approach of multimodal biometric system. In this research paper choose the physiological model for face recognition and behavioural model for signature recognition. The recognition of face and signature used match score level fusion. In this fusion technology for secured authentication of person

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Haider, Syed Aqeel, Yawar Rehman, and S. M. Usman Ali. "Enhanced Multimodal Biometric Recognition Based upon Intrinsic Hand Biometrics." Electronics 9, no. 11 (2020): 1916. http://dx.doi.org/10.3390/electronics9111916.

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In the proposed study, we examined a multimodal biometric system having the utmost capability against spoof attacks. An enhanced anti-spoof capability is successfully demonstrated by choosing hand-related intrinsic modalities. In the proposed system, pulse response, hand geometry, and finger–vein biometrics are the three modalities of focus. The three modalities are combined using a fuzzy rule-based system that provides an accuracy of 92% on near-infrared (NIR) images. Besides that, we propose a new NIR hand images dataset containing a total of 111,000 images. In this research, hand geometry i

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Herbadji, Abderrahmane, Zahid Akhtar, Kamran Siddique, et al. "Combining Multiple Biometric Traits Using Asymmetric Aggregation Operators for Improved Person Recognition." Symmetry 12, no. 3 (2020): 444. http://dx.doi.org/10.3390/sym12030444.

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Biometrics is a scientific technology to recognize a person using their physical, behavior or chemical attributes. Biometrics is nowadays widely being used in several daily applications ranging from smart device user authentication to border crossing. A system that uses a single source of biometric information (e.g., single fingerprint) to recognize people is known as unimodal or unibiometrics system. Whereas, the system that consolidates data from multiple biometric sources of information (e.g., face and fingerprint) is called multimodal or multibiometrics system. Multibiometrics systems can

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Shinde, Prashant Pandurang, and Amol Sable. "Hybridization for Classification and Identification of Individuals using Multimodal Biometric Systems." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2126–32. https://doi.org/10.35940/ijeat.D7249.049420.

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Biometric recognition systems use certain human characteristics such as voice, facial features, fingerprint, iris or hand geometry to identify an individual or verify their identity. These systems have been developed individually for each of these biometric modalities until they achieve remarkable levels of performance. Biometrics is a measure of biological characteristics for the identification or authentication of an individual based on some of its characteristics. Although biometric recognition techniques promise to be very effective, At present, we can not guarantee an excellent identifica

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

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<span>Monomodal biometry does not constitute an effective measure to meet the desired performance requirements for large-scale applications, due to limita-tions 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 modali-ties in a single identification system. Identification based on multiple biomet-rics represents an emerging trend. The reason for combining different modal-ities is to improve the recognition rate. In practice, mult

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Rukhiran, Meennapa, Sorapak Pukdesree, and Paniti Netinant. "Biometric Cloud Services for Web-Based Examinations." International Journal of Information Technology and Web Engineering 17, no. 1 (2022): 1–25. http://dx.doi.org/10.4018/ijitwe.299022.

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Biometric recognition may be used in conjunction with human authentication on a smartphone to improve accuracy, reliability, and simplicity, and to aid in fraud prevention and user authentication. While single biometric authentication addresses environmental degradation and sensor noise limitations, and the single point of failure scenario in biometric systems can result in more robust biometric systems, multimodal biometric authentication can improve the accuracy of identification and recognition. The purpose of this research is to propose a facial and speech authentication system that is clo

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Karthi, G., and M. Ezhilarasan. "Multi biometric Template Protection using Hybrid Technique." International Journal of Engineering & Technology 7, no. 4 (2018): 2609. http://dx.doi.org/10.14419/ijet.v7i4.11485.

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Recently, multi-biometrics system has been the important identification system for providing authentication mechanism. In this pa-per, the multi-biometric recognition system uses multiple traits (face, iris and fingerprint) for authentication. The features are extracted from the traits and feature level fusion technique is applied to the individual features traits to form a fused feature. Protection of these biometrics features against various attacks points is an important concern for authentication process. One such attack is the modification of stored template, which largely affects the per

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D S, Dr Dinesh Kumar. "Human Authentication using Face, Voice and Fingerprint Biometrics." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 853–62. http://dx.doi.org/10.22214/ijraset.2021.36381.

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Multimodal biometric approaches are growing in importance for personal verification and identification, since they provide better recognition results and hence improve security compared to biometrics based on a single modality. In this project, we present a multimodal biometric system that is based on the fusion of face, voice and fingerprint biometrics. For face recognition, we employ Haar Cascade Algorithm, while minutiae extraction is used for fingerprint recognition and we will be having a stored code word for the voice authentication, if any of these two authentication becomes true, the s

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Buciu, Ioan, and Alexandru Gacsadi. "Biometrics Systems and Technologies: A survey." International Journal of Computers Communications & Control 11, no. 3 (2016): 315. http://dx.doi.org/10.15837/ijccc.2016.3.2556.

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In a nutshell, a biometric security system requires a user to provide some biometric features which are then verified against some stored biometric templates. Nowadays, the traditional password based authentication method tends to be replaced by advanced biometrics technologies. Biometric based authentication is becoming increasingly appealing and common for most of the human-computer interaction devices. To give only one recent example, Microsoft augmented its brand new Windows 10 OS version with the capability of supporting face recognition when the user login in. This chapter does not inten

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Yadav, Devender. "Utilizing Biometric Technology for Secure Digital Authentication: A Case Study of UAE Pass." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–7. https://doi.org/10.55041/ijsrem40228.

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This research article explores the application of biometric technology for safe digital authentication in consumer applications. The paper investigates how biometric technologies - including fingerprint, facial recognition, and iris scanning offer enhanced security and better User Experience over conventional authentication systems such passwords and PINs. The article examines the main characteristics and capabilities of the UAE Pass system, and its applications in several government and business sector services. The paper also assesses the effects of biometric authentication in the UAE's nati

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Joseph Charles P, Preethi S,. "Survey Analysis on Secured user Authentication through Biometric Recognition." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2408–16. http://dx.doi.org/10.17762/ijritcc.v11i9.9296.

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Secured user authentication is the process of verifying the user authenticity. Biometric authentication is the human identification system employed to match the biometric characteristics of user for verifying the authenticity. Biometric identifiers are exclusive, making it harder to hack accounts using them. Common types of biometrics comprise the fingerprint scanning verifies authentication based on a user's fingerprints Face recognition and voice recognition are employed in real-time application for improving the security level in different application scenarios. Face recognition is a method

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Assouma, Abdoul Kamal, Tahirou Djara, and Abdou-Aziz Sobabe. "Multi-Biometrics: Survey and Projection of a New Biometric System." International Journal of Engineering and Advanced Technology 12, no. 3 (2023): 80–87. http://dx.doi.org/10.35940/ijeat.c4008.0212323.

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Multi-biometric systems using feature-level fusion allow more accuracy and reliability in recognition performance than uni-biometric systems. But in practice, this type of fusion is difficult to implement especially when we are facing heterogeneous biometric modalities or incompatible features. The major challenge of feature fusion is to produce a representation of each modality with an excellent level of discrimination. Beyond pure biometric modalities, the use of metadata has proven to improve the performance of biometric systems. In view of these findings, our work focuses on multi-origin b

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Abdoul, Kamal Assouma, Djara Tahirou, and Sobabe Abdou-Aziz. "Multi-Biometrics: Survey and Projection of a New Biometric System." International Journal of Engineering and Advanced Technology (IJEAT) 12, no. 3 (2023): 80–87. https://doi.org/10.35940/ijeat.C4008.0212323.

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<strong>Abstract: </strong>Multi-biometric systems using feature-level fusion allow more accuracy and reliability in recognition performance than uni-biometric systems. But in practice, this type of fusion is difficult to implement especially when we are facing heterogeneous biometric modalities or incompatible features. The major challenge of feature fusion is to produce a representation of each modality with an excellent level of discrimination. Beyond pure biometric modalities, the use of metadata has proven to improve the performance of biometric systems. In view of these findings, our wor

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OMOLOLA AKINOLA. "Robust authentication mechanisms integrating biometrics and AI for securing remote access to cloud-based healthcare services." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 034–44. http://dx.doi.org/10.30574/wjarr.2024.23.3.2642.

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Strong authentication is needed to protect remote patient health data in cloud-based healthcare services. Traditional verification techniques like passwords or tokens are hard to remember, share, or steal. This project aims to secure online cloud healthcare platform access using biometrics and AI. Biometrics is the finest cloud healthcare user authentication option, while others have issues with utility, accuracy, and fraud. Research reveals that biometric approaches may authenticate persons well, but cloud storage can compromise privacy. Machine learning aids biometric recognition, but curren

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OMOLOLA, AKINOLA. "Robust authentication mechanisms integrating biometrics and AI for securing remote access to cloud-based healthcare services." World Journal of Advanced Research and Reviews 23, no. 3 (2024): 034–44. https://doi.org/10.5281/zenodo.14908946.

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Strong authentication is needed to protect remote patient health data in cloud-based healthcare services. Traditional verification techniques like passwords or tokens are hard to remember, share, or steal. This project aims to secure online cloud healthcare platform access using biometrics and AI. Biometrics is the finest cloud healthcare user authentication option, while others have issues with utility, accuracy, and fraud. Research reveals that biometric approaches may authenticate persons well, but cloud storage can compromise privacy. Machine learning aids biometric recognition, but curren

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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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Yaacob, Mohd Noorulfakhri, Syed Zulkarnain Syed Idrus, Wan Azani Wan Mustafa, Mohd Aminudin Jamlos, and Mohd Helmy Abd Wahab. "Identification of the Exclusivity of Individual’s Typing Style Using Soft Biometric Elements." Annals of Emerging Technologies in Computing 5, no. 5 (2021): 10–26. http://dx.doi.org/10.33166/aetic.2021.05.002.

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Biometric is used as a main security fence in a computer system. The unique characteristics of a person can be distinguished from each other. Human’s biometrics can be categorized into three types: morphological, biological and behavioural. Morphological biometrics uses physical features for recognition. Biological biometrics used to identify user based on biological features. Behavioural biometrics such as gender, culture, height and weight can be used as an additional security measure within a system. These biometric behavioural features are also known as soft biometric. This study uses soft

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Kaur, Manpreet. "Biometric Recognition System: A Review." International Journal of Computer Sciences and Engineering 5, no. 9 (2017): 40–45. http://dx.doi.org/10.26438/ijcse/v5i9.4045.

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Ammour, Basma, Larbi Boubchir, Toufik Bouden, and Messaoud Ramdani. "Face–Iris Multimodal Biometric Identification System." Electronics 9, no. 1 (2020): 85. http://dx.doi.org/10.3390/electronics9010085.

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Multimodal biometrics technology has recently gained interest due to its capacity to overcome certain inherent limitations of the single biometric modalities and to improve the overall recognition rate. A common biometric recognition system consists of sensing, feature extraction, and matching modules. The robustness of the system depends much more on the reliability to extract relevant information from the single biometric traits. This paper proposes a new feature extraction technique for a multimodal biometric system using face–iris traits. The iris feature extraction is carried out using an

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Drosou, A., D. Ioannidis, K. Moustakas, and D. Tzovaras. "Unobtrusive Behavioral and Activity-Related Multimodal Biometrics: The ACTIBIO Authentication Concept." Scientific World JOURNAL 11 (2011): 503–19. http://dx.doi.org/10.1100/tsw.2011.51.

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Unobtrusive Authentication Using ACTIvity-Related and Soft BIOmetrics (ACTIBIO) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state-of-the-art unobtrusive technologies in order to enhance security in a wide spectrum of applications. The project aims to develop a modular, robust, multimodal biometrics security authentication and monitoring system, which uses a biodynamic physiological profile, unique for each individual, and advancements of the state of the art in unobtrusive behavioral and other biometrics, such as face, gait recognition, a

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Channegowda, Arjun Benagatte, and Hebbakavadi Nanjundaiah Prakash. "Image fusion by discrete wavelet transform for multimodal biometric recognition." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (2022): 229. http://dx.doi.org/10.11591/ijai.v11.i1.pp229-237.

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In today’s world, security plays a crucial role in almost all applications. Providing security to a huge population is a more challenging task. Biometric security is the key player in such type of situation. Using a biometric-based security system more secure application can be built because it is tough to steal or forge. The unimodal biometric system uses only one biometric modality where some of the limitations will arise. For example, if we use fingerprints due to oiliness or scratches, the finger recognition rate may reduce. In order to overcome the drawbacks of unimodal biometrics, multim

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Arjun, Benagatte Channegowda, and Nanjundaiah Prakash Hebbakavadi. "Image fusion by discrete wavelet transform for multimodal biometric recognition." International Journal of Artificial Intelligence (IJ-AI) 11, no. 1 (2022): 229–37. https://doi.org/10.11591/ijai.v11.i1.pp229-237.

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In today’s world, security plays a crucial role in almost all applications. Providing security to a huge population is a more challenging task. Biometric security is the key player in such type of situation. Using a biometric-based security system more secure application can be built because it is tough to steal or forge. The unimodal biometric system uses only one biometric modality where some of the limitations will arise. For example, if we use fingerprints due to oiliness or scratches, the finger recognition rate may reduce. In order to overcome the drawbacks of unimodal biometrics,

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Singh,, Seependra. "BIOMETRIC ATTENDANCE SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35127.

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This paper presents a biometric fingerprint attendance system designed to enhance accuracy, security, and efficiency in attendance tracking. The system utilizes fingerprint recognition technology for data acquisition, preprocessing, feature extraction, and matching. Key challenges, including data privacy and security, are addressed with robust solutions. Comprehensive testing demonstrates the system's effectiveness in reducing time theft and improving employee accountability. The findings highlight the potential of biometric systems to revolutionize attendance management, suggesting avenues fo

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Siddappa M, DR. "Paper Presentation: Protection on Exam Paper Leakage Using Biometric." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50395.

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ABSTRACT Examination paper leakage poses a serious threat to the integrity and fairness of academic evaluations. This paper presents a secure and innovative solution to prevent exam paper leakage using biometric authentication technology. The proposed system ensures that only authorized personnel can access, handle, and distribute exam papers by integrating biometric verification methods such as fingerprint or iris recognition. By replacing traditional manual or password-based access systems, biometrics provide a higher level of security, minimizing the risks of unauthorized access or identity

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Rana, Humayan Kabir, Md Shafiul Azam, and Mst Rashida Akhtar. "Iris Recognition System Using PCA Based on DWT." SM Journal of Biometrics & Biostatistics 2, no. 3 (2017): 1015. https://doi.org/10.5281/zenodo.2580202.

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The Biometric recognition is the study of identifying individuals based on their unique physiological or behavioral characteristics, includes iris, face, fingerprint, retina, vein, hand geometry, hand writing, human gait, signature, keystrokes and voice. Among the biometrics, an iris has unique structure and it remains stable over a person life time. So that iris recognition is regarded as the most accurate and reliable biometric recognition system. In this paper, we proposed a technique that uses Principal Component Analysis (PCA) based on Discrete Wavelet Transformation (DWT) for selecting f

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Kumar Singha, Anjani, Anshu Singla, and Rajneesh Kumar Pandey. "STUDY AND ANALYSIS ON BIOMETRICS AND FACE RECOGNITION METHODS." EPH - International Journal of Science And Engineering 2, no. 2 (2016): 29–34. http://dx.doi.org/10.53555/eijse.v2i2.145.

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Human Biometrics is a rising technology, which has been broadly used in forensics, safe access and top-security prison. A biometric system is primarily a pattern recognition system that recognizes a person by determining the verification by using his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are important physiological biometrics and behavioral trait are Voice recognition, keystroke-scan, and signature-scan. In this paper different biometrics techniques such as Iris scan, retina scan and face recognition techniques are discussed

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S. Jahromi, Mohammad N., Pau Buch-Cardona, Egils Avots, et al. "Privacy-Constrained Biometric System for Non-Cooperative Users." Entropy 21, no. 11 (2019): 1033. http://dx.doi.org/10.3390/e21111033.

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With the consolidation of the new data protection regulation paradigm for each individual within the European Union (EU), major biometric technologies are now confronted with many concerns related to user privacy in biometric deployments. When individual biometrics are disclosed, the sensitive information about his/her personal data such as financial or health are at high risk of being misused or compromised. This issue can be escalated considerably over scenarios of non-cooperative users, such as elderly people residing in care homes, with their inability to interact conveniently and securely

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S.T., Naitik, and J. V. Gorabal. "Design and Development of Multimodal Biometric System Using Finger Veins and Iris by CNN Integrated with Hybrid SIO and Whale Optimization Techniques." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 22 (2024): 97–114. http://dx.doi.org/10.3991/ijim.v18i22.50865.

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Biometrics encompasses technological and scientific advancements in monitoring and interpreting biological data from the human body to enhance system security by offering precise and dependable patterns and techniques for person authentication and recognition. Its solutions are widely used by governments, the armed forces, and enterprises. Single sources of data in biometric systems, referred to as unimodal systems, are effective but frequently struggle with noisy data. Many of these challenges can be solved with multimodal biometric systems, which incorporate two or more biometric modalities.

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