Handbook of biometric anti-spoofing : presentation attack detection and vulnerability assessment.
Marcel, Sébastien, editor.; Fierrez, Julian, editor.; Evans, Nicholas, editor.
2022
TK7882.B56
Available Online

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Title Handbook of biometric anti-spoofing : presentation attack detection and vulnerability assessment.
Edition Third edition / edited by Sébastien Marcel, Julian Fierrez, Nicholas Evans.
ISBN 9789811952883 (electronic bk.)
9811952884 (electronic bk.)
9789811952876
9811952876
DOI https://doi.org/10.1007/978-981-19-5288-3
Published Singapore : Springer, 2022.
Language English
Description 1 online resource (1 volume) : illustrations (black and white).
Item Number 10.1007/978-981-19-5288-3 doi
Call Number TK7882.B56
Dewey Decimal Classification 006.2/48
Summary The third edition of this authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) also known as Biometric Anti-Spoofing. Building on the success of the previous editions, this thoroughly updated third edition has been considerably revised to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: reviews the latest developments in PAD for fingerprint biometrics, covering recent technologies like Vision Transformers, and review of competition series; examines methods for PAD in iris recognition systems, the use of pupil size measurement or multiple spectra for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as recent progress on detection of 3D facial masks and the use of multiple spectra with Deep Neural Networks; presents an analysis of PAD for automatic speaker recognition (ASV), including a study of the generalization to unseen attacks; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and face anti-spoofing; provides analyses of PAD in finger-vein recognition, in signature biometrics, and in mobile biometrics; includes coverage of international standards in PAD and legal aspects of image manipulations like morphing.This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics. This text/reference is essential reading for anyone involved in biometric identity verification, be they students, researchers, practitioners, engineers, or technology consultants. Those new to the field will also benefit from a number of introductory chapters, outlining the basics for the most important biometrics.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Marcel, Sébastien, editor.
Fierrez, Julian, editor.
Evans, Nicholas, editor.
Series Advances in computer vision and pattern recognition.
Available in Other Form Handbook of biometric anti-spoofing.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
An Introduction to Fingerprint Presentation Attack Detection
A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection
Optical Coherence Tomography for Fingerprint Presentation Attack Detection
Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection
Review of Fingerprint Presentation Attack Detection Competitions
Introduction to Iris Presentation Attack Detection
Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection
Review of Iris Presentation Attack Detection Competitions
Introduction to Face Presentation Attack Detection
Recent Advances in Face Presentation Attack Detection
Recent Progress on Face Anti-Spoofing against 3D Mask Attack
Challenges of Face Presentation Attack Detection in Real Scenarios
Remote Blood Pulse Analysis for Face Presentation Attack Detection
Review of Face Presentation Attack Detection Competitions
Introduction to Voice Presentation Attack Detection and Recent Advances
A Cross-Database Study of Voice Presentation Attack Detection
Voice Presentation Attack Detection Using Convolutional Neural Networks
An Introduction to Vein Presentation Attacks and Detection
Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection
Evaluation Methodologies for Biometric Presentation Attack Detection
A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR
Standards for Biometric Presentation Attack Detection.

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