Advances in Biometrics

This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence.

• Highlights robust and novel biometrics techniques
• Provides implementation strategies and future research directions in the field of biometrics

• Includes case studies and emerging applications

Auteur
Ganesh R. Sinha, PhD, is a member of the faculty at Myanmar Institute of Information Technology (MIIT), where he teaches electronics and communications engineering. Before joining MIIT, Dr. Sinha was a Professor in the Department of Electronics and Communications Engineering and as Dean (Internal Quality Assessment Cell) at CMR Technical Campus, Hyderabad, India. He completed his B.E. in Electronics Engineering and M.Tech. in Computer Technology with a Gold Medal from the National Institute of Technology, Raipur, India, and received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He has been teaching and conducting research in his discipline for more than 19 years, and has published nearly 200 research papers with national and international journals and conferences. He is an editorial board member and active reviewer for a number of international journals, including IEEE Transactions on Image Processing, and has authored six books. His research interests include biometrics, medical image processing, deep learning, computer-aided design (CAD), and computer vision.

Contenu
Introduction.- Classification of Biometrics.- Computer Vision and Pattern RecognitionBiometric Databases.- Machine Learning and Artificial Intelligence (AI).- Design of Classifiers.- Cybersecurity and Biometrics.- New Algorithms and Technologies.- Cognitive Computing.- Usability and Testing Methods.- 3D Face Recognition.- Biometric Standards and Protocols.- Dimensionality Reduction.- Application and Case Studies.- Template Aging.- Biometric Template Security.- Soft Biometrics.- Social Impact of Biometric Technology.- Future Directions and Robustness