Boulgouris / Plataniotis / Micheli-Tzanakou Biometrics

Theory, Methods, and Applications
1. Auflage 2009
ISBN: 978-0-470-52234-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 762 Seiten, E-Book

Reihe: IEEE Press Series on Computational Intelligence

Edited by a panel of experts, this book fills 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 enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today's most interesting and challenging biometric problems.
Biometric traits covered:
Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics.
Theory, Methods and Applications covered:
Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.

Autoren/Hrsg.

Boulgouris, N. V.

Plataniotis, Konstantinos N.

Micheli-Tzanakou, Evangelia

Inhaltsverzeichnis

Preface.
Contributors.
1. Discriminant Analysis for Dimensionality Reduction: AnOverview of Recent Developments (Jieping Ye and ShuiwangJi).
2. A Taxonomy of Emerging Multilinear Discriminant AnalysisSolutions for Biometric Signal Recognition (Haiping Lu,Konstantinos N. Plataniotis, and Anastasios N.Venetsanopoulos).
3. A Comparative Survey on Biometric Identity AuthenticationTechniques Based on Neural Networks (Raghudeep Kannavara andNikolaos Bourbakis).
4. Designing Classifiers for Fusion-Based BiometricVerification (Kritha Venkataramani and B. V. K. VijayaKumar).
5. Person-Specific Characteristic Feature Selection for FaceRecognition (Sreekar Krishna, Vineeth Balasubramanian, JohnBlack, and Sethuraman Panchanathan).
6. Face Verification Based on Elastic Graph Matching(Anastasios Tefas and Ioannis Pitas).
7. Combining Geometrical and Statistical Models forVideo-Based Face Recognition (Amit K. Roy-Chowdhury andYilei Xu).
8. A Biologically Inspired Model for the SimultaneousRecognition of Identity and Expression (Donald Neth andAleix M. Martinez).
9. Multimodal Biometrics Based on Near-Infrared FaceRecognition (Rui Wang, Shengcai Liao, Zhen Lei, and Stan Z.Li).
10. A Novel Unobtrusive Face and Hand Geometry AuthenticationSystem Based on 2D and 3D Data (Filareti Tsalakanidou andSotiris Malassiotis).
11. Learning Facial Aging Models: A Face RecognitionPerspective (Narayanan Ramanathan and RamaChellappa).
12. Super-Resolution of Face Images (Sung Won Park andMarios Savvides).
13. Iris Recognition (Yung-Hui Li and MariosSavvides).
14. Learning in Fingerprints (Alessandra Lumini, LorisNanni, and Davide Maltoni).
15. A Comparison of Classification- and Indexing-BasedApproaches for Fingerprint Identification (Xuejun Tan, BirBhanu, and Rong Wang).
16. Electrocardiogram (ECG) Biometric for RobustIdentification and Secure Communication (Francis MinhthangBui, 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, IvanCester, and Giulio Ruffini).
19. A Multiresolution Analysis of the Effect of FaceFamiliarity on Human Event-Related Potentials (Brett DeMarcoand Evangelia Micheli-Tzanakou).
20. On-Line Signature-Based Authentication: Template SecurityIssues and Countermeasures (Patrizio Campisi, EmanueleMaiorana, 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 onGait Recognition (Savvas Argyropoulos, DimosthenisIoannidis, 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 PhysicalAccess Control Systems: Design Concept, Architecture, andApplications (Svetlana N. Yanushkevich, Vlad P. Shmerko,Oleg Boulanov, and Adrian Stoica).
25. Privacy in Biometrics (Stelvio Cimato, MarcoGamassi, Vincenzo Piuri, Roberto Sassi, and Fabio Scotti).
26. Biometric Encryption: The New Breed of UntraceableBiometrics (Ann Cavoukian and Alex Stoianov).
Index.

Über Autor(innen)

Nikolaos V. Boulgouris, PhD, is a Senior Lecturer in theDepartment of Electronic Engineering at King's College London. Dr.Boulgouris has participated in several research projects in theareas of biometrics, pattern recognition, security, and multimediacommunications. He has published more than fifty scientificarticles in refereed journals and conference proceedings. He is aSenior 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 theUniversity of Toronto's Edward S. Rogers Sr. Department ofElectrical & Computer Engineering. His research interests arein biometrics, communications systems, image and signal processing,multimedia systems, and pattern recognition. He is a registeredprofessional engineer in Ontario and the Editor in Chief(2009-2011) for the IEEE Signal Processing Letters. Hehas contributed to fifteen books and has published more than 300papers in refereed journals and conference proceedings.
Evangelia Micheli-Tzanakou, PhD, is Professor II andDirector of the Computational Intelligence Laboratories in theDepartment of Biomedical Engineering at Rutgers University. Sheestablished the first-ever experimental Brain to ComputerInterface. She is the recipient of many awards and has publishedover 300 scientific papers. An IEEE Fellow, she has served in manypositions including the IEEE Board of Directors, president of theComputational Intelligence Society, Chair of the IEEE Awards Board,and recently as the IEEE VP of Educational Activities.