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.

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
.

Introduction.- Forgeries of Fingerprints in Forensic Science.- Fingerprint Anti-Spoofing in Biometric Systems.- Face Anti-Spoofing: Visual Approach.- Face Anti-Spoofing: Multi-Spectral Approach.- Iris Anti-Spoofing.- Speaker Recognition Anti-Spoofing.- Gait Anti-Spoofing.- Multimodal Anti-Spoofing in Biometric Recognition Systems.- Evaluation Methodologies.- Related Standards.- Legal Aspects: Biometric Data, Evidence Rules and Trusted Identities.- Ethical Issues in Anti-Spoofing.- Evaluation Databases.