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E-raamat: Biometrics - Theory, Methods, and Applications: Theory, Methods, and Applications [Wiley Online]

Edited by , Edited by , Edited by (King's College London)
  • Formaat: 762 pages, Charts: 150 B&W, 0 Color; Photos: 5 B&W, 0 Color; Graphs: 145 B&W, 0 Color
  • Sari: IEEE Press Series on Computational Intelligence
  • Ilmumisaeg: 08-Dec-2009
  • Kirjastus: Wiley-IEEE Press
  • ISBN-10: 470522356
  • ISBN-13: 9780470522356
Teised raamatud teemal:
  • Wiley Online
  • Hind: 182,91 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 762 pages, Charts: 150 B&W, 0 Color; Photos: 5 B&W, 0 Color; Graphs: 145 B&W, 0 Color
  • Sari: IEEE Press Series on Computational Intelligence
  • Ilmumisaeg: 08-Dec-2009
  • Kirjastus: Wiley-IEEE Press
  • ISBN-10: 470522356
  • ISBN-13: 9780470522356
Teised raamatud teemal:
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 todays 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.
Preface vii
Contributors xiii
Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments
1(20)
Jieping Ye
Shuiwang Ji
A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition
21(26)
Haiping Lu
Konstantinos N. Plataniotis
Anastasios N. Venetsanopoulos
A Comparative Survey on Biometric Identity Authentication Techniques Based on Neural Networks
47(34)
Raghudeep Kannavara
Nikolaos Bourbakis
Designing Classifiers for Fusion-Based Biometric Verification
81(32)
Kritha Venkataramani
B. V. K. Vijaya Kumar
Person-Specific Characteristic Feature Selection for Face Recognition
113(30)
Sreekar Krishna
Vineeth Balasubramanian
John Black
Sethuraman Panchanathan
Face Verification Based on Elastic Graph Matching
143(28)
Anastasios Tefas
Ioannis Pitas
Combining Geometrical and Statistical Models for Video-Based Face Recognition
171(24)
Amit K. Roy-Chowdhury
Yilei Xu
A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression
195(30)
Donald Neth
Aleix M. Martinez
Multimodal Biometrics Based on Near-Infrared Face Recognition
225(16)
Rui Wang
Shengcai Liao
Zhen Lei
Stan Z. Li
A Novel Unobtrusive Face and Hand Geometry Authentication System Based on 2D and 3D Data
241(30)
Filareti Tsalakanidou
Sotiris Malassiotis
Learning Facial Aging Models: A Face Recognition Perspective
271(24)
Narayanan Ramanathan
Rama Chellappa
Super-Resolution of Face Images
295(20)
Sung Won Park
Marios Savvides
Iris Recognition
315(24)
Yung-Hui Li
Marios Savvides
Learning in Fingerprints
339(26)
Alessandra Lumini
Loris Nanni
Davide Maltoni
A Comparison of Classification- and Indexing-Based Approaches for Fingerprint Identification
365(18)
Xuejun Tan
Bir Bhanu
Rong Wang
Electrocardiogram (ECG) Biometric for Robust Identification and Secure Communication
383(46)
Francis Minhthang Bui
Foteini Agrafioti
Dimitrios Hatzinakos
The Heartbeat: The Living Biometric
429(32)
Steven A. Israel
John M. Irvine
Brenda K. Wiederhold
Mark D. Wiederhold
Multimodal Physiological Biometrics Authentication
461(22)
Alessandro Riera
Aureli Soria-Frisch
Mario Caparrini
Ivan Cester
Giulio Ruffini
A Multiresolution Analysis of the Effect of Face Familiarity on Human Event-Related Potentials
483(14)
Brett De Marco
Evangelia Micheli-Tzanakou
On-Line Signature-Based Authentication: Template Security Issues and Countermeasures
497(42)
Patrizio Campisi
Emanuele Maiorana
Alessandro Neri
Unobtrusive Biometric Identification Based on Gait
539(20)
Xiaxi Huang
Nikolaos V. Boulgouris
Distributed Source Coding for Biometrics: A Case Study on Gait Recognition
559(20)
Savvas Argyropoulos
Dimosthenis Ioannidis
Dimitrios Tzovaras
Michael G. Strintzis
Measuring Information Content in Biometric Features
579(20)
Richard Youmaran
Andy Adler
Decision-Making Support in Biometric-Based Physical Access Control Systems: Design Concept, Architecture, and Applications
599(34)
Svetlana N. Yanushkevich
Vlad P. Shmerko
Oleg Boulanov
Adrian Stoica
Privacy in Biometrics
633(22)
Stelvio Cimato
Marco Gamassi
Vincenzo Piuri
Roberto Sassi
Fabio Scotti
Biometric Encryption: The New Breed of Untraceable Biometrics
655(64)
Ann Cavoukian
Alex Stoianov
Index 719
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 (20072010) 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 (20092011) 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.