Handbook of Biometric Anti-Spoofing : Presentation Attack Detection and Vulnerability Assessment / edited by Sébastien Marcel, Julian Fierrez, Nicholas Evans.

Format:

Book

Contributor:

Marcel, Sébastien, Editor.

Fierrez, Julian, Editor.

Evans, Nicholas, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Advances in computer vision and pattern recognition 2191-6594

Advances in Computer Vision and Pattern Recognition, 2191-6594

Language:

English

Subjects (All):

Electronic digital computers-Evaluation.

Biometric identification.

Computer science-Mathematics.

Mathematical statistics.

System Performance and Evaluation.

Biometrics.

Probability and Statistics in Computer Science.

Local Subjects:

System Performance and Evaluation.

Biometrics.

Probability and Statistics in Computer Science.

Physical Description:

1 online resource (XIX, 595 pages) : 157 illustrations, 137 illustrations in color.

Edition:

3rd ed. 2023.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

System Details:

text file PDF

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-981-19-5288-3

9789811952883

Access Restriction:

Restricted for use by site license.