Relevant bibliographies by topics / Biometric Recognition System

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Biometric Recognition System'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Biometric Recognition System"

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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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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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Dissertations / Theses on the topic "Biometric Recognition System"

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Svoboda, Jan. "System for Recognition of 3D Hand Geometry." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-412913.

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V posledním desetiletí došlo ke zvýšení zájmu o užití 3D dat k biometrické identifikaci osob. Možná vůbec největší výzkum proběhl v oblasti 3D rozpoznávání podle obličeje, přičemž je v současné době dostupných vícero komerčních zařízení. V oblastni rozpoznávání podle 3D geometrie ruky byl v minulých letech proveden určitý výzkum jehož výsledkem však nebylo žádné komerční zařízení. Nezávisle na tomto výzkumu se v posledních letech velmi rozšířil trh s cenově dostupnými 3D sensory, což potenciálně umožňuje jejich nasazení v mnoha typech biometrických systémů. Hlavním cílem této práce je vytvořit
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Muthu, Rajesh. "Development of a secure biometric recognition system." Thesis, Northumbria University, 2016. http://nrl.northumbria.ac.uk/31618/.

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Biometric based security systems are becoming an integral part of many security agencies and organisations. These systems have a number of applications ranging from national security, law enforcement, the identification of people, particularly for building access control, the identification of suspects by the police, driver’s licences and many other spheres. However, the main challenge is to ensure the integrity of digital content under different intentional and non-intentional distortions; along with the robustness and security of the digital content. This thesis focuses on improving the secu
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Mohamed, Abdul Cader Akmal Jahan. "Finger biometric system using bispectral invariants and information fusion techniques." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/134464/1/Akmal%20Jahan_Mohamed%20Abdul%20Cader_Thesis.pdf.

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Contactless hand biometric systems are better accepted than contact prints as they are hygienic and accelerate data acquisition. This research is one of the few investigating contactless biometrics of the full hand by proposing a novel algorithm based on ridge orientation information along lines connecting key points, higher order spectral features, and fusion. It was investigated with contactless finger images acquired from 81 users, and found to be robust to hand orientation and image size, and provide acceptable performance using two fingers with fusion. The algorithm has potential to use i
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Hasegawa, Robert Shigehisa. "Using synthetic images to improve iris biometric performance." Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/827.

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Feng, Yicheng. "Template protecting algorithms for face recognition system." HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/832.

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Jayapal, Ranjith. "Biometric encryption system for increased security." UNF Digital Commons, 2017. http://digitalcommons.unf.edu/etd/746.

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Security is very important in present day life. In this highly-interconnected world, most of our daily activities are computer based, and the data transactions are protected by passwords. These passwords identify various entities such as bank accounts, mobile phones, etc. People might reuse the same password, or passwords related to an individual that can lead to attacks. Indeed, remembering several passwords can become a tedious task. Biometrics is a science that measures an individual’s physical characteristics in a unique way. Thus, biometrics serves as a method to replace the cumbersome us
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Louw, Lloyd A. B. "Automated face detection and recognition for a login system." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/438.

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Mai, Guangcan. "Biometric system security and privacy: data reconstruction and template protection." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/544.

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Biometric systems are being increasingly used, from daily entertainment to critical applications such as security access and identity management. It is known that biometric systems should meet the stringent requirement of low error rate. In addition, for critical applications, the security and privacy issues of biometric systems are required to be concerned. Otherwise, severe consequence such as the unauthorized access (security) or the exposure of identity-related information (privacy) can be caused. Therefore, it is imperative to study the vulnerability to potential attacks and identify the
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Assaad, Firas Souhail. "Biometric Multi-modal User Authentication System based on Ensemble Classifier." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931.

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Li, Jiawei. "Person re-identification with limited labeled training data." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/541.

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With the growing installation of surveillance video cameras in both private and public areas, it is an immediate requirement to develop intelligent video analysis system for the large-scale camera network. As a prerequisite step of person tracking and person retrieval in intelligent video analysis, person re-identification, which targets in matching person images across camera views is an important topic in computer vision community and has been received increasing attention in the recent years. In the supervised learning methods, the person re-identification task is formulated as a classifica
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Books on the topic "Biometric Recognition System"

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Frost & Sullivan., ed. U.S. electronic access control system markets: High security requirements promote biometric identification. Frost & Sullivan, 1994.

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Bodade, Rajesh M. Iris analysis for biometric recognition systems. Springer, 2014.

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Bodade, Rajesh M., and Sanjay N. Talbar. Iris Analysis for Biometric Recognition Systems. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1853-1.

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Liu, Chengjun. Cross Disciplinary Biometric Systems. Springer Berlin Heidelberg, 2012.

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Zhang, David. Automated biometrics: Technologies and systems. Kluwer Academic Publishers, 2000.

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Keith, McLennan, Chilvers Simon, ARTE France, Films d'ici (Firm), and Films for the Humanities & Sciences (Firm), eds. Biometrics. Films for the Humanities & Sciences, 2008.

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I, Hammoud Riad, Abidi Besma, and Abidi Mongi A, eds. Multi-biometric systems and face recognition: Basics and applications. Springer, 2007.

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D, Woodward John. Biometrics. McGraw-Hill/Osborne, 2003.

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L, Wilson C. Simple test procedure for image-based biometric verification systems. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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1948-, Jain Anil K., Bolle Ruud, and Pankanti Sharath, eds. Biometrics: Personal identification in networked society. Kluwer, 1999.

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Book chapters on the topic "Biometric Recognition System"

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Zhu, Wei-Jian, Chuan-Zhi Zhuang, Jing-Wei Liu, and Ming Huang. "Design of Multimodal Biometric Information Management System Based on Commercial Systems." In Biometric Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_21.

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Zhang, Haoxiang. "A Multi-model Biometric Image Acquisition System." In Biometric Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_61.

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Huang, Yingkun, Shaoshu Huang, Changdong Wang, Dekai Kang, and Wenkai Huang. "Research on the Intelligent Public Transportation System." In Biometric Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_80.

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Nigam, Aditya, and Phalguni Gupta. "Finger Knuckleprint Based Recognition System Using Feature Tracking." In Biometric Recognition. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25449-9_16.

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Liu, Chang, Wenxiong Kang, Linpu Fang, and Ningxin Liang. "Authentication System Design Based on Dynamic Hand Gesture." In Biometric Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31456-9_11.

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Zhang, Dexin, and Haoxiang Zhang. "A Video Surveillance System Based on Gait Recognition." In Biometric Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_13.

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Liang, Xu, Gang Wu, Yan He, and Nan Luo. "Optimal Parameter Selection for 3D Palmprint Acquisition System." In Biometric Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_8.

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Sang, Haifeng, and Hongjiao Wu. "A Sign Language Recognition System in Complex Background." In Biometric Recognition. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46654-5_50.

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Liu, Yong, Yuqing He, Chunquan Gan, Jiadan Zhu, and Li Li. "A Review of Advances in Iris Image Acquisition System." In Biometric Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35136-5_26.

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Ning, Yujing, Guangming Lu, Ke Yan, and Xia Zhang. "Standardization of Gas Sensors in a Breath Analysis System." In Biometric Recognition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12484-1_49.

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Conference papers on the topic "Biometric Recognition System"

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Agrawal, Subhash Chand, and Rajesh Kumar Tripathi. "Biometric Attendance System Using Face Recognition." In 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0. IEEE, 2024. http://dx.doi.org/10.1109/otcon60325.2024.10688314.

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Vasavi, J., and P. Chidambaranathan. "Bimodal Biometric Human Recognition System Using Deep Learning Algorithm." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10968892.

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Khare, Pranav, Sahil Arora, and Sandeep Gupta. "Recognition of Fingerprint Biometric Verification System Using Deep Learning Model." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691020.

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Sahmoudi, Yahya, Omar El Ogri, Amal Hjouji, and Jaouad El-Mekkaoui. "New Biometric Recognition System By Multichannel Orthogonal Radial Triangular Pulse Moments." In 2024 3rd International Conference on Embedded Systems and Artificial Intelligence (ESAI). IEEE, 2024. https://doi.org/10.1109/esai62891.2024.10913855.

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J, Ida Christy, Abisha D, Mithunkumar C, Navedha Evanjalin R, Ajith S, and Dharun Ram K. "Automated Attendance Management System Using Face Recognition and Real-Time Biometric Authentication." In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). IEEE, 2024. https://doi.org/10.1109/icuis64676.2024.10866385.

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Alwan, Hiba Basim. "Long Short-Term Memory Utilization for Non-Invertible Transformation Face Biometric Recognition System." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748175.

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Chudobova, Michaela, Jan Kubicek, Radomir Scurek, and Marek Hutter. "IMPLEMENTATION OF INTELLIGENT BIOMETRIC SYSTEM FOR FACE DETECTION AND CLASSIFICATION." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s07.06.

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This article deals with the design and implementation of an intelligent biometric system that allows the detection and classification of a person's face from static image data and creates a system for evaluating its reliability. In its introductory part, it theoretically describes applied biometrics and biometric systems for security identification and user verification, and also deals with the theory of the description of algorithms for human face detection and recognition. Subsequently, the authors use the MATLAB programming language, which is highly optimized for modern processors and memor
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Roy, Devashree, and Anupam Shukla. "Speaker recognition using multimodal biometric system." In 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE). IEEE, 2013. http://dx.doi.org/10.1109/icsda.2013.6709905.

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Castellanos, Carlos, Philippe Pasquier, Luther Thie, and Kyu Che. "Biometric tendency recognition and classification system." In the 3rd international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1413634.1413668.

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Trufasila, Miruna Elena, and Petre Anghelescu. "Biometric System based on Facial Recognition." In 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2019. http://dx.doi.org/10.1109/ecai46879.2019.9042057.

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Reports on the topic "Biometric Recognition System"

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Тарасова, Олена Юріївна, and Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.

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Facial recognition technology is named one of the main trends of recent years. It’s wide range of applications, such as access control, biometrics, video surveillance and many other interactive humanmachine systems. Facial landmarks can be described as key characteristics of the human face. Commonly found landmarks are, for example, eyes, nose or mouth corners. Analyzing these key points is useful for a variety of computer vision use cases, including biometrics, face tracking, or emotion detection. Different methods produce different facial landmarks. Some methods use only basic facial landmar
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Varastehpour, Soheil, Hamid Sharifzadeh, Iman Ardekani, and Abdolhossein Sarrafzadeh. Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Unitec ePress, 2020. http://dx.doi.org/10.34074/ocds.086.

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Authentication methods based on human traits, including fingerprint, face, iris, and palm print, have developed significantly, and currently they are mature enough to be reliably considered for human identification purposes. Recently, as a new research area, a few methods based on non-facial skin features such as vein patterns have been developed. This literature review paper explores some key biometric systems such as face recognition, iris recognition, fingerprint, and palm print, and discusses their respective advantages and disadvantages; then by providing a comprehensive analysis of these
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