Advances in Computer Vision and Pattern Recognition: Trusted Biometrics under Spoofing Attacks

Marcel, Sébastien; Nixon, Mark S.; Li, Stan Z.

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.

Details

Published by: Springer

Publication Date: 2016-09-17

Format: Paperback

ISBN-13: 9781447172000

DOI: 10.1007/978-1-4471-6524-8

Dimensions: 235cm x155cm

Pages: 281