Biometrics: Theory, Methods, and Applications

Voorkant
N. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia Micheli-Tzanakou
John Wiley & Sons, 29 okt 2009 - 762 pagina's
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.

 

Geselecteerde pagina's

Inhoudsopgave

Preface
vii
Contributors
xiii
1 Discriminant Analysis for Dimensionality Reduction An Overview of Recent Developments
1
2 A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition
21
3 A Comparative Survey on Biometric Identity Authentication Techniques Based on Neural Networks
47
4 Designing Classifiers for FusionBased Biometric Verification
81
5 PersonSpecific Characteristic Feature Selection for Face Recognition
113
6 Face Verification Based on Elastic Graph Matching
143
14 Learning in Fingerprints
339
15 A Comparison of Classification and IndexingBased Approaches for Fingerprint Identification
365
16 Electrocardiogram ECG Biometric for Robust Identification and Secure Communication
383
17 The Heartbeat The Living Biometric
429
18 Multimodal Physiological Biometrics Authentication
461
19 A Multiresolution Analysis of the Effect of Face Familiarity on Human EventRelated Potentials
483
20 OnLine SignatureBased Authentication Template Security Issues and Countermeasures
497
21 Unobtrusive Biometric Identification Based on Gait
539

7 Combining Geometrical and Statistical Models for VideoBased Face Recognition
171
8 A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression
195
9 Multimodal Biometrics Based on NearInfrared Face Recognition
225
10 A Novel Unobtrusive Face and Hand Geometry Authentication System Based on 2D and 3D Data
241
11 Learning Facial Aging Models A Face Recognition Perspective
271
12 SuperResolution of Face Images
295
13 Iris Recognition
315
22 Distributed Source Coding for Biometrics A Case Study on Gait Recognition
559
23 Measuring Information Content in Biometric Features
579
24 DecisionMaking Support in BiometricBased Physical Access Control Systems Design Concept Architecture and Applications
599
25 Privacy in Biometrics
633
26 Biometric Encryption The New Breed of Untraceable Biometrics
655
Index
719
Copyright

Overige edities - Alles bekijken

Biometrics: Theory, Methods, and Applications
N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou
Geen voorbeeld beschikbaar - 2009
Biometrics: Theory, Methods, and Applications
N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou
Geen voorbeeld beschikbaar - 2009

Veelvoorkomende woorden en zinsdelen

3D face Adaboost algorithm applications approach attacker authentication binary biometric data biometric feature biometric system biometric template classifier codeword coefficients commitment scheme computed Computer Vision corresponding database defined detection dimensionality reduction discriminant analysis distance efficient eigenfaces enrollment ensemble error estimate face images face recognition facial expressions feature extraction feature vector field Figure find finger fingerprint first function fuzzy commitment Gabor filters gait recognition Gaussian graph hand geometry heartbeat helper data identification IEEE IEEE Trans illumination impostor input Intell International Conference iris iris recognition linear linear discriminant analysis Mach matching matrix measure method minutiae multimodal neural network node obtained optimal output parameters Pattern Anal Pattern Recognit performance person pixels pose proposed reference sample scheme score Section sequence signal signature significant specific super-resolution techniques tensor threshold transform values verification wavelet

Over de auteur (2009)

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.

Bibliografische gegevens

TitelBiometrics: Theory, Methods, and Applications
IEEE Press Series on Computational Intelligence
RedacteursN. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia Micheli-Tzanakou
Editiegeïllustreerd
UitgeverJohn Wiley & Sons, 2009
ISBN0470522348, 9780470522349
Lengte762 pagina's
  
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