IEEE-24782-2 Biometrics: Theory, Methods, and Applications

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IEEE-24782-2 Biometrics: Theory, Methods, and Applications

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.

1. Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments
2. A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition
3. A Comparative Survey on Biometric Identity Authentication Techniques Based on Neural Networks 
4. Designing Classifiers for Fusion-Based Biometric Verification 
5. Person-Specific Characteristic Feature Selection for Face Recognition 
6. Face Verification Based on Elastic Graph Matching 
7. Combining Geometrical and Statistical Models for Video-Based Face Recognition 
8. A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression
9. Multimodal Biometrics Based on Near-Infrared Face Recognition
10. A Novel Unobtrusive Face and Hand Geometry Authentication System Based on 2D and 3D Data
11. Learning Facial Aging Models: A Face Recognition Perspective
12. Super-Resolution of Face Images 
13. Iris Recognition 
14. Learning in Fingerprints 
15. A Comparison of Classification- and Indexing-Based Approaches for Fingerprint Identification
16. Electrocardiogram (ECG) Biometric for Robust Identification and Secure Communication
17. The Heartbeat: The Living Biometric
18. Multimodal Physiological Biometrics Authentication 
19. A Multiresolution Analysis of the Effect of Face Familiarity on Human Event-Related Potentials
20. On-Line Signature-Based Authentication: Template Security Issues and
21. Unobtrusive Biometric Identification Based on Gait
22. Distributed Source Coding for Biometrics: A Case Study on Gait Recognition 
23. Measuring Information Content in Biometric Features 
24. Decision-Making Support in Biometric-Based Physical Access Control Systems: Design Concept, Architecture, and Applications 
25. Privacy in Biometrics 
26. Biometric Encryption: The New Breed of Untraceable Biometrics

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.

  • N. V. Boulgouris (Editor), Konstantinos N. Plataniotis (Editor), Evangelia Micheli-Tzanakou (Editor)
  • ISBN: 978-0-470-24782-2
  • 745 pages, hardcover
  • November 2009, Wiley-IEEE Press