Handbook of Biometric Anti-Spoofing: Trusted Biometrics under Spoofing Attacks (Advances in Computer Vision and Pattern Recognition) - Softcover

Über die Autorin bzw. den Autor

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.

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As the plethora of approaches to biometrics and their deployment continues to grow, so too does the need to combat the techniques used to subvert the aim of such biometric systems.

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. Across a range of common biometrics, including face, iris, fingerprint, speaker and gait, the book describes spoofing methods and examines the vulnerabilities of biometric systems to these attacks. Novel theoretical methods are also introduced to evaluate the various possible countermeasures.

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