Signal and Image Processing for Biometrics Format: Hardcover

The aim of this book is to deal with biometrics in terms of signal and image processing methods and algorithms. This will help engineers and students working in digital signal and image processing deal with the implementation of such specific algorithms.

It discusses numerous signal and image processing techniques that are very often used in biometric applications. In particular, algorithms related to hand feature extraction, speech recognition, 2D/3D face biometrics, video surveillance and other interesting approaches are presented. Moreover, in some chapters, Matlab codes are provided so that readers can easily reproduce some basic simulation results.

This book is suitable for final-year undergraduate students, postgraduate students, engineers and researchers in the field of computer engineering and applied digital signal and image processing.

Amine Naït-Ali is Professor at University Paris-Est Créteil in France. His research interests focus on biosignal processing, biometrics, modeling, pattern recognition and multimodal compression. He has edited and co-edited numerous books and co-authored peer-reviewed papers in the bio-engineering field. Currently, he is in charge of a biometric research group and an international Masters program in biometrics.

Régis Fournier is Associate Professor at University Paris-Est Créteil in France. His research interests concern biosignal processing, modeling, stochastic process, multimodal compression and biometrics. He has co-authored national and international peer-reviewed papers in the biomedical engineering field. A member of a biometric research group, he is currently involved in scientific relationships with companies for an international Masters program in biometrics.