Handbook of Biometric Anti-Spoofing: Trusted Biometrics Under Spoofing Attacks
- 6h 1m
- Mark S. Nixon, Stan Z. Li (eds), Sébastien Marcel
- Springer
- 2014
Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks. Topics and features: provides a detailed introduction to the field of biometric anti-spoofing and a thorough review of the associated literature; examines spoofing attacks against five biometric modalities, namely, fingerprints, face, iris, speaker and gait; discusses anti-spoofing measures for multi-model biometric systems; reviews evaluation methodologies, international standards and legal and ethical issues; describes current challenges and suggests directions for future research; presents the latest work from a global selection of experts in the field, including members of the TABULA RASA project.
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.
In this Book
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Introduction
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Forgeries of Fingerprints in Forensic Science
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Fingerprint Anti-Spoofing in Biometric Systems
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Face Anti-Spoofing: Visual Approach
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Face Anti-Spoofing: Multi-Spectral Approach
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Iris Anti-Spoofing
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Speaker Recognition Anti-Spoofing
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Gait Anti-Spoofing
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Multimodal Anti-Spoofing in Biometric Recognition Systems
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Evaluation Methodologies
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Related Standards
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Legal Aspects: Biometric Data, Evidence Rules and Trusted Identities
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Ethical Issues in Anti-Spoofing
