Face Detection and Recognition ─ Theory and Practice

Face recognition technology can enhance security by verifying an individual’s identity based on facial images. Examples of its use include border control, driver’s license issuance, law enforcement investigations, and physical access control. This book describes the theory and practice of face detection and recognition systems currently in vogue. Details on the state-of-the-art automated face detection and recognition system algorithms are provided along with case studies. Other topics covered include different subspace methods, different transform methods, and neural network approaches for face recognition, along with their theoretical backgrounds. Hardware architecture, progress in frequency domain face recognition, and spatial and time domain approaches are also discussed.

Asit Kumar Datta is a former professor of the University of Calcutta (CU), Kolkata, India, where he served in the Department of Applied Physics and the Department of Applied Optics and Photonics. He holds an M.Tech and Ph.D from the same university. Dr. Datta spent 19 years as a professor and a total of 40 years of teaching and research at the post-graduate level at CU. In addition, he served for 8 years as a principal scientist/principal scientific officer of a CU research center in optical electronics. Widely published in international journals and conference proceedings, Dr. Datta has guided 14 scholars toward their Ph.Ds and has published nearly 125 papers. He has contributed significantly in the areas of photonic computation, photonic and electronic instrumentation, optical communications, and pattern recognition. He represented India at the International Commission on Optics and the International Commission on Illumination.

Madhura Datta is the assistant director of the University Grants Commission-Human Resources Development Center, University of Calcutta, Kolkata, India. She holds an M.Sc in computer and information science, and an M.Tech and Ph.D in computer science and engineering from the University of Calcutta. Her primary areas of research are face detection and recognition. Her work has been featured in various technical publications and conference proceedings, including theJournal of Pattern Recognition Research, Computer Vision and Image Understanding, International Journal of Pattern Recognition and Artificial Intelligence, International Conference on Pattern Recognition and Machine Intelligence,and IEEE International Conference on Intelligent Human Computer Interaction.

Pradipta Kumar Banerjee is an associate professor in the Department of Electrical Engineering of the Future Institute of Engineering and Management, Kolkata, India. He holds a B.Sc, B.Tech, M.Tech, and Ph.D from the University of Calcutta, Kolkata, India. His research interests include computer vision, image processing, frequency domain pattern recognition, biometrics, object detection, recognition, and tracking. He has been published in numerous technical journals, book chapters, and conference proceedings, such as Optics & Laser Technology, Optik - International Journal for Light and Electron Optics, Pattern Recognition Letters,Lecture Notes in Computer Science, 8^th International Conference on Advances in Pattern Recognition, IEEE International Conference on Signal and Image Processing, IEEE Conference on Recent Advances in Intelligent Computational Systems, and many more.