Biometrics: Theory, Methods, and Applications: 9 (IEEE Press Series on Computational Intelligence) - Tapa dura

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Nikolaos V. Boulgouris, PhD, is a Senior Lecturer in the Department of Electronic Engineering at King's College London. Dr. Boulgouris has participated in several research projects in the areas of biometrics, pattern recognition, security, and multimedia communications. He has published more than fifty scientific articles in refereed journals and conference proceedings. He is a Senior Member of the IEEE and has served as an associate editor (2007–2010) for the IEEE Signal Processing Letters.

Konstantinos N. Plataniotis, PhD, is a Professor in the University of Toronto's Edward S. Rogers Sr. Department of Electrical & Computer Engineering. His research interests are in biometrics, communications systems, image and signal processing, multimedia systems, and pattern recognition. He is a registered professional engineer in Ontario and the Editor in Chief (2009–2011) for the IEEE Signal Processing Letters. He has contributed to fifteen books and has published more than 300 papers in refereed journals and conference proceedings.

Evangelia Micheli-Tzanakou, PhD, is Professor II and Director of the Computational Intelligence Laboratories in the Department of Biomedical Engineering at Rutgers University. She established the first-ever experimental Brain to Computer Interface. She is the recipient of many awards and has published over 300 scientific papers. An IEEE Fellow, she has served in many positions including the IEEE Board of Directors, president of the Computational Intelligence Society, Chair of the IEEE Awards Board, and recently as the IEEE VP of Educational Activities.

De la contraportada

An in-depth examination of the cutting edge of biometrics

This book fills a gap in the literature by detailing the recent advances and emerging theories, methods, and applications of biometric systems in a variety of infrastructures. Edited by a panel of experts, it provides comprehensive coverage of:

• Multilinear discriminant analysis for biometric signal recognition
• Biometric identity authentication techniques based on neural networks
• Multimodal biometrics and design of classifiers for biometric fusion
• Feature selection and facial aging modeling for face recognition
• Geometrical and statistical models for video-based face authentication
• Near-infrared and 3D face recognition
• Recognition based on fingerprints and 3D hand geometry
• Iris recognition and ECG-based biometrics
• Online signature-based authentication
• Identification based on gait
• Information theory approaches to biometrics
• Biologically inspired methods and biometric encryption
• Biometrics based on electroencephalography and event-related potentials

Biometrics: Theory, Methods, and Applications is an indispensable resource for researchers, security experts, policymakers, engineers, and graduate students.