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Handbook of Biometric Anti-Spoofing

Presentation Attack Detection and Vulnerability Assessment

  • Is the definitive guide to biometric anti-spoofing and vulnerability assessment
  • Discusses spoofing methods, vulnerabilities of biometric systems, and countermeasures to spoofing attacks
  • Presents novel theoretical methods to evaluate spoofing and anti-spoofing

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xix
  2. Fingerprint Biometrics

    1. Front Matter

      Pages 1-1
    2. Introduction to Presentation Attack Detection in Fingerprint Biometrics

      • Javier Galbally, Julian Fierrez, Raffaele Cappelli, Gian Luca Marcialis
      Pages 3-15
    3. Vision Transformers for Fingerprint Presentation Attack Detection

      • Kiran Raja, Raghavendra Ramachandra, Sushma Venkatesh, Marta Gomez-Barrero, Christian Rathgeb, Christoph Busch
      Pages 17-56
    4. Review of the Fingerprint Liveness Detection (LivDet) Competition Series: From 2009 to 2021

      • Marco Micheletto, Giulia Orrù, Roberto Casula, David Yambay, Gian Luca Marcialis, Stephanie Schuckers
      Pages 57-76
    5. A Unified Model for Fingerprint Authentication and Presentation Attack Detection

      • Additya Popli, Saraansh Tandon, Joshua J. Engelsma, Anoop Namboodiri
      Pages 77-99
  3. Iris Biometrics

    1. Front Matter

      Pages 101-101
    2. Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advances

      • Aythami Morales, Julian Fierrez, Javier Galbally, Marta Gomez-Barrero
      Pages 103-121
    3. Pupil Size Measurement and Application to Iris Presentation Attack Detection

      • Adam Czajka, Benedict Becker, Alan Johnson
      Pages 123-147
    4. Review of Iris Presentation Attack Detection Competitions

      • David Yambay, Priyanka Das, Aidan Boyd, Joseph McGrath, Zhaoyuan (Andy) Fang, Adam Czajka et al.
      Pages 149-169
  4. Face Biometrics

    1. Front Matter

      Pages 201-201
    2. Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances

      • Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, Javier Galbally
      Pages 203-230
    3. Review of Face Presentation Attack Detection Competitions

      • Zitong Yu, Jukka Komulainen, Xiaobai Li, Guoying Zhao
      Pages 287-336
  5. Voice Biometrics

    1. Front Matter

      Pages 337-337
    2. Introduction to Voice Presentation Attack Detection and Recent Advances

      • Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Andreas Nautsch, Xin Wang, Tomi Kinnunen et al.
      Pages 339-385
    3. A One-class Model for Voice Replay Attack Detection

      • Xingliang Cheng, Lantian Li, Mingxing Xu, Dong Wang, Thomas Fang Zheng
      Pages 387-419
    4. Generalizing Voice Presentation Attack Detection to Unseen Synthetic Attacks and Channel Variation

      • You Zhang, Fei Jiang, Ge Zhu, Xinhui Chen, Zhiyao Duan
      Pages 421-443

About this book

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 reviewof 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.

Editors and Affiliations

  • Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  • Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  • EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

About the editors

Prof. Sébastien Marcel is a Senior Researcher and Head of the Biometrics Security and Privacy Group at the Idiap Research Institute, Martigny, Switzerland. He is a Lecturer at École polytechnique fédérale de Lausanne (EPFL) and Professor at the Université de Lausanne (UNIL). He is also the Director of the Swiss Center for Biometrics Research and Testing. He was Vice-President Conferences of the IEEE Biometrics Council, and the Project Coordinator of the EC-funded TABULA RASA (Trusted Biometrics under Spoofing Attacks) and BEAT (Biometrics Evaluation and Testing) projects.

Prof. Julian Fierrez is a full Professor in the School of Engineering (EPS) at the Autonomous University of Madrid (UAM), Spain. He is Vice-Chair of the IAPR Technical Committee on Biometrics (TC4), has participated in large EU projects focused on biometrics since 2003 (most notably BIOSEC, BIOSECURE, TABULA RASA, and BEAT), and has received a number of best paper awards and other prestigious research distinctions, including the IAPR Young Biometrics Investigator Award 2017.

Prof. Nicholas Evans is a Professor at EURECOM, Biot, France where he heads research in Audio Security and Privacy within the Digital Security Department. He participated in the EU BIOSECURE, TABULA RASA, OCTAVE  and TReSPAsS-ETN projects and is among the co-founders of the ASVspoof (2015-2021) and SASV (2022) initiatives and challenge series relating to spoofing-robust voice biometrics.

Bibliographic Information

  • Book Title: Handbook of Biometric Anti-Spoofing

  • Book Subtitle: Presentation Attack Detection and Vulnerability Assessment

  • Editors: Sébastien Marcel, Julian Fierrez, Nicholas Evans

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-981-19-5288-3

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-19-5287-6Published: 25 February 2023

  • Softcover ISBN: 978-981-19-5290-6Published: 26 February 2024

  • eBook ISBN: 978-981-19-5288-3Published: 23 February 2023

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 3

  • Number of Pages: XIX, 595

  • Number of Illustrations: 20 b/w illustrations, 137 illustrations in colour

  • Topics: System Performance and Evaluation, Biometrics, Probability and Statistics in Computer Science

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access