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Biometrics: Theory, Methods, and Applications

ISBN: 978-0-470-52234-9
600 pages
October 2009, Wiley-IEEE Press
Biometrics: Theory, Methods, and Applications (0470522348) cover image
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.

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Preface.

Contributors.

1. Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments (Jieping Ye and Shuiwang Ji).

2. A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition (Haiping Lu, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos).

3. A Comparative Survey on Biometric Identity Authentication Techniques Based on Neural Networks (Raghudeep Kannavara and Nikolaos Bourbakis).

4. Designing Classifiers for Fusion-Based Biometric Verification (Kritha Venkataramani and B. V. K. Vijaya Kumar).

5. Person-Specific Characteristic Feature Selection for Face Recognition (Sreekar Krishna, Vineeth Balasubramanian, John Black, and Sethuraman Panchanathan).

6. Face Verification Based on Elastic Graph Matching (Anastasios Tefas and Ioannis Pitas).

7. Combining Geometrical and Statistical Models for Video-Based Face Recognition (Amit K. Roy-Chowdhury and Yilei Xu).

8. A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression (Donald Neth and Aleix M. Martinez).

9. Multimodal Biometrics Based on Near-Infrared Face Recognition (Rui Wang, Shengcai Liao, Zhen Lei, and Stan Z. Li).

10. A Novel Unobtrusive Face and Hand Geometry Authentication System Based on 2D and 3D Data (Filareti Tsalakanidou and Sotiris Malassiotis).

11. Learning Facial Aging Models: A Face Recognition Perspective (Narayanan Ramanathan and Rama Chellappa).

12. Super-Resolution of Face Images (Sung Won Park and Marios Savvides).

13. Iris Recognition (Yung-Hui Li and Marios Savvides).

14. Learning in Fingerprints (Alessandra Lumini, Loris Nanni, and Davide Maltoni).

15. A Comparison of Classification- and Indexing-Based Approaches for Fingerprint Identification (Xuejun Tan, Bir Bhanu, and Rong Wang).

16. Electrocardiogram (ECG) Biometric for Robust Identification and Secure Communication (Francis Minhthang Bui, Foteini Agrafioti, and Dimitrios Hatzinakos).

17. The Heartbeat: The Living Biometric (Steven A. Israel, John M. Irvine, Brenda K. Wiederhold, and Mark D. Wiederhold).

18. Multimodal Physiological Biometrics Authentication (Alessandro Riera, Aureli Soria-Frisch, Mario Caparrini, Ivan Cester, and Giulio Ruffini).

19. A Multiresolution Analysis of the Effect of Face Familiarity on Human Event-Related Potentials (Brett DeMarco and Evangelia Micheli-Tzanakou).

20. On-Line Signature-Based Authentication: Template Security Issues and Countermeasures (Patrizio Campisi, Emanuele Maiorana, and Alessandro Neri).

21. Unobtrusive Biometric Identification Based on Gait (Xiaxi Huang and Nikolaos V. Boulgouris).

22. Distributed Source Coding for Biometrics: A Case Study on Gait Recognition (Savvas Argyropoulos, Dimosthenis Ioannidis, Dimitrios Tzovaras, and Michael G. Strintzis).

23. Measuring Information Content in Biometric Features (Richard Youmaran and Andy Adler).

24. Decision-Making Support in Biometric-Based Physical Access Control Systems: Design Concept, Architecture, and Applications (Svetlana N. Yanushkevich, Vlad P. Shmerko, Oleg Boulanov, and Adrian Stoica).

25. Privacy in Biometrics (Stelvio Cimato, Marco Gamassi, Vincenzo Piuri, Roberto Sassi, and Fabio Scotti).

26. Biometric Encryption: The New Breed of Untraceable Biometrics (Ann Cavoukian and Alex Stoianov).

Index.

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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.

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  • Builds a strong, fundamental understanding of theory and methods and provides a foundation for solutions to many of today’s most interesting and challenging biometrics problems

  • Emphasis is given to emerging topics, such as userspecific parameterization, biometric individuality, biometric cryptosystems, quality measure of biometrics data, and sensor interoperability

  • Each chapter includes a summary and bibliography for further reading

  • Includes access to a Web site which will provide a wealth of information extending the book's content, including links to biometrics related forums.

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"The volume will have a great influence on the study of the subject. Exhaustively researched and presented with exemplary balance in presenting what is needed at the moment, the creation of this book is fully worthy of its demanding subject. No future evaluation or study or survey of biometrics theory, methods, and applications will be able to ignore this remarkable achievement in 500 pages in 26 chapters that will endure and will have impact on every aspect of the study of biometrics .....a reality that the authors powerfully communicate to researchers, security experts, policy makers, engineers, and graduate students. The editors' good sense, tact and balance in accomplishing their task are deeply impressive." (Current Engineering Practice, 2011)

"Filling a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits, the book provides an extensive survey of biometrics theory, methods, and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics." (Current Engineering Practice, 2010)

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