Editors:
- The first definitive study of biometric anti-spoofing
- Discusses spoofing methods, vulnerabilities of biometric systems and countermeasures to spoofing attacks
- Presents novel theoretical methods to evaluate spoofing and anti-spoofing
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Idiap Research Institute, Martigny, Switzerland
Sébastien Marcel
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University of Southampton, United Kingdom
Mark S. Nixon
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Institute of Automation Center for Biometrics and Security Resea, Chinese Academy of Sciences, Beijing, China
Stan Z. Li
About the editors
Dr. Sébastien Marcel is a Senior Researcher and Head of the Biometrics Group at the Idiap Research Institute, Martigny, Switzerland. He is the Project Coordinator of the EC-funded TABULA RASA project (Trusted Biometrics under Spoofing Attacks). He is also the Director of the Swiss Center for Biometrics Research and Testing and a Lecturer at EPFL.
Dr. Mark S. Nixon is a Professor of Computer Vision in the School of Electronics and Computer Science at the University of Southampton, UK. He is a co-author of the Springer book Human Identification Based on Gait.
Dr. Stan Z. Li is a Professor at the National Laboratory of Pattern Recognition, Director of the Center for Biometrics and Security Research, and Director of the R&D Center for Visual Internet of Things, within the Chinese Academy of Sciences. His numerous publications include the successful Springer titles Handbook of Face Recognition, Encyclopedia of Biometrics, Handbook of Remote Biometrics and Markov Random Field Modeling in Image Analysis.
Bibliographic Information
Book Title: Handbook of Biometric Anti-Spoofing
Book Subtitle: Trusted Biometrics under Spoofing Attacks
Editors: Sébastien Marcel, Mark S. Nixon, Stan Z. Li
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-6524-8
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2014
Softcover ISBN: 978-1-4471-7200-0Published: 17 September 2016
eBook ISBN: 978-1-4471-6524-8Published: 17 July 2014
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVII, 281
Number of Illustrations: 45 b/w illustrations, 50 illustrations in colour
Topics: System Performance and Evaluation, Image Processing and Computer Vision, Pattern Recognition, Probability and Statistics in Computer Science