1st Edition

AI Based Advancements in Biometrics and its Applications

    274 Pages 77 B/W Illustrations
    by CRC Press

    Biometrics are a person's unique physical or behavioural features that can be utilised for electronic identification and authentication. Fingerprints, facial features, voice patterns, and typing speed are all examples of biometric identifiers. Each of these identities stands on its own as a distinct marker of a certain person, and they can be used in tandem to improve identification reliability. Biometrics are finding more and more uses across various industries today.

    The field of AI-based biometrics is expanding quickly, with the goal of making biometric identification systems more reliable, efficient, and secure. There are many ways in which artificial intelligence can be applied to enhance biometric systems such as enhancing precision, accelerating performance, and fortifying safety. Access control, financial transactions, logistics, and medical care are just some of the current uses for biometrics powered by artificial intelligence.

    As this technology matures and decreases in price, it is anticipated that biometrics based on artificial intelligence will see increased use in the coming years. The use of artificial intelligence in biometrics could completely alter how we establish our identities and communicate with the outside world.

    The use of artificial intelligence in biometrics is an exciting new development with the promise to boost the reliability, speed, and safety of biometric authentication methods. Artificial intelligence (AI) based biometrics is predicted to become more widely employed in a number of applications as the technology continues to improve and become more affordable. Some concrete applications of AI in biometrics are Facial Recognition, Finger Print Recognition and Voice Recognition.

    This book delves into the history of biometrics, the various systems that have been developed to date, the problems that have arisen from these systems, the necessity of AI-based biometrics systems, the various AI techniques that have been developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and various case studies of AI-based biometrics.


    1. Introduction to Biometrics 

    Seema Rani, Narmada Madaan, Misbah Anjum, Azween Bin Abdullah

    2. Issues and Challenges in Traditional Biometric Systems

    V. Yokesh, N. Sathish, A. Prasanth, Arfat Ahmad Khan

    3. Artificial Intelligence in Biometric Systems

    D. Subitha, Rahul S.G., Md. Palash Uddin

    4. Deep Biometrics: Exploring the Intersection of Deep Learningand Biometric Applications

    Ashwini A, Kavitha V., Balasubramaniam S

    5. Security and Privacy Issues in AI-based Biometric Systems

    Mani Deepak Choudhry, M. Sundarrajan, S. Jeevanandham,V. Saravanan

    6. AI-based Fingerprint and Voice Recognition Systems

    M. Nalini, S. Suveka, Syed Ahmad Chan Bukhari

    7. Biometric Facial Recognition and Ethics

    Usha S., Anbazhagan Geetha, SanthakumarJ., Sundaravadivazhagan B.

    8. A Cutting-edge Approach with Convolutional NeuralNetworks for Real-time Face Recognition

    Joel Livin, Ashwini A., Seifedine Kadry

    9. Access Control Using AI Based Biometric Systems: Case Study

    S. Aathilakshmi, A. Prasanth, K.K. Devi Sowndarya,Pham Chien Thang

    10. AI Based Biometric Systems in Financial Transactions: Case Study

    P. Mathivanan, K. Mahalakshmi, D. Mohanapriya, Omer Melih Gul

    11. Need for 3D-Biometric System with AI Based Immersive Technology

    Abinaya M., Vadivu G., Prasanth A., Hamidoglu A.

    12. Blockchain-based Voting System

    Vanajaroselin Chirchi, Bindyashree, Visalini S., Balasubramaniam S

    13. Future Directions in Cybersecurity, Digital Forensics and Biometric Systems

    Wasswa Shafik, Ali Tufail, Rosyzie Anna Awg Haji Mohd Apong, Balasubramaniam S



    Dr. Balasubramaniam S is an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. He has over 15 years of experience in teaching, research and industry. He has completed his Postdoctoral Research in the Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He holds a Ph.D. in Computer Science and Engineering from Anna University, Chennai, India in 2015. He has published over 20 research papers in reputed SCI/WoS/Scopus indexed journals. He has 1 Australian patent and 1 Indian patent and published 3 Indian patents. He has presented papers at conferences, contributed chapters to the edited books and editor in few books published by major publishers. His research and publication interests include machine learning and deep learning-based disease diagnosis, cloud computing security, Generative AI and Electric Vehicles.

    Prof. Seifedine Kadry obtained a bachelor’s degree from Lebanese University in 1999, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. he is a full professor of data science at Noroff University College, Norway.

    Dr A. Prasanth has a B.E. in Electronics and Communication Engineering from Anna University, Chennai and the M.E. in Computer Science and Engineering (with specialization in Networks) from Anna University, Chennai and a Ph.D. degree in Information and Communication Engineering from Anna University, Chennai, India. He served as a Recognized Anna University Ph.D. Supervisor. Four scholars are doing their research under his guidance and one has completed a Ph.D. in March 2023. He is currently an Associate Professor in Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamilnadu, India. He has published more than 35 research articles in reputed journals among which 15 articles are indexed in SCI and 20 articles are indexed in Scopus. He has published 8 patents in IPR cell. Further, he has published 12 books with reputed publishers. He has served as resource person in 25 AICTE Sponsored STTP/FDP programs. Moreover, he has served as Editorial Board Member in various reputed SCI Journals. His research interests include Internet of Things, Blockchain, Wireless Sensor Networks, Medical Image Processing, and Machine Learning.

    Dr Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Before joining Symbiosis, he was a Professor at the School of Computing Science and Engineering at Galgotias University in Greater Noida, India. His academic and research achievements have earned him a place among the top 2% of scientists globally by Stanford University. He has a B.E. in Computer Science and Engineering from Anna University Chennai, India, in 2007. Subsequently, he obtained a M.Tech from Anna University Coimbatore, India in 2010. His relentless pursuit of knowledge culminated in a Ph.D. in Computer Science from Anna University, Chennai, India, in 2017. He has authored and edited over 50 books on various cutting-edge technologies and holds 21 patents. Furthermore, he has contributed over 100 articles and papers to esteemed refereed journals and international conferences, in addition to providing chapters for several influential books. Dr. Dhanaraj has shared his insights with the academic community by delivering numerous tech talks on disruptive technologies. He has forged meaningful partnerships with esteemed professors from top QS-ranked universities around the world, fostering a global network of academic excellence. His research interests encompass Machine Learning, Cyber-Physical Systems, and Wireless Sensor Networks. Dr. Dhanaraj’s expertise in these areas has led to numerous research talks on Applied AI and Cyber-Physical Systems at various esteemed institutions. He has earned the distinction of being a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is also a member of the Computer Science Teacher Association (CSTA) and the International Association of Engineers (IAENG). Dr. Dhanaraj’s commitment to academic excellence extends to his role as an Associate Editor and Guest Editor for renowned journals, including Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, and Hindawi - Mobile Information Systems. His expertise has earned him a position as an Expert Advisory Panel Member of Texas Instruments Inc., USA.