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  • © 2019

Handbook of Biometric Anti-Spoofing

Presentation Attack Detection

  • The definitive study of biometric anti-spoofing (a.k.a., biometric presentation attack detection)
  • 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 (22 chapters)

  1. Front Matter

    Pages i-xx
  2. Fingerprint Biometrics

    1. Front Matter

      Pages 1-1
    2. An Introduction to Fingerprint Presentation Attack Detection

      • Javier Galbally, Julian Fierrez, Raffaele Cappelli
      Pages 3-31
    3. A Study of Hand-Crafted and Naturally Learned Features for Fingerprint Presentation Attack Detection

      • Kiran B. Raja, R. Raghavendra, Sushma Venkatesh, Marta Gomez-Barrero, Christian Rathgeb, Christoph Busch
      Pages 33-48
    4. Optical Coherence Tomography for Fingerprint Presentation Attack Detection

      • Yaseen Moolla, Luke Darlow, Ameeth Sharma, Ann Singh, Johan van der Merwe
      Pages 49-70
    5. Interoperability Among Capture Devices for Fingerprint Presentation Attacks Detection

      • Pierliugi Tuveri, L. Ghiani, Mikel Zurutuza, V. Mura, G. L. Marcialis
      Pages 71-108
    6. Review of Fingerprint Presentation Attack Detection Competitions

      • David Yambay, Luca Ghiani, Gian Luca Marcialis, Fabio Roli, Stephanie Schuckers
      Pages 109-131
  3. Iris Biometrics

    1. Front Matter

      Pages 133-133
    2. Introduction to Iris Presentation Attack Detection

      • Aythami Morales, Julian Fierrez, Javier Galbally, Marta Gomez-Barrero
      Pages 135-150
    3. Review of Iris Presentation Attack Detection Competitions

      • David Yambay, Adam Czajka, Kevin Bowyer, Mayank Vatsa, Richa Singh, Afzel Noore et al.
      Pages 169-183
  4. Face Biometrics

    1. Front Matter

      Pages 185-185
    2. Introduction to Face Presentation Attack Detection

      • Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, Javier Galbally
      Pages 187-206
    3. Recent Advances in Face Presentation Attack Detection

      • Sushil Bhattacharjee, Amir Mohammadi, André Anjos, Sébastien Marcel
      Pages 207-228
    4. Recent Progress on Face Presentation Attack Detection of 3D Mask Attacks

      • Si-Qi Liu, Pong C. Yuen, Xiaobai Li, Guoying Zhao
      Pages 229-246
    5. Challenges of Face Presentation Attack Detection in Real Scenarios

      • Artur Costa-Pazo, Esteban Vazquez-Fernandez, José Luis Alba-Castro, Daniel González-Jiménez
      Pages 247-266
    6. Remote Blood Pulse Analysis for Face Presentation Attack Detection

      • Guillaume Heusch, Sébastien Marcel
      Pages 267-289
    7. Review of Face Presentation Attack Detection Competitions

      • Jukka Komulainen, Zinelabidine Boulkenafet, Zahid Akhtar
      Pages 291-317
  5. Voice Biometrics

    1. Front Matter

      Pages 319-319
    2. Introduction to Voice Presentation Attack Detection and Recent Advances

      • Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas Evans, Junichi Yamagishi et al.
      Pages 321-361

About this book

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, pioneering edition, this thoroughly updated second edition has been considerably expanded 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 optical coherence tomography (OCT) technology, and issues of interoperability; examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG); presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing; provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devicesincludes coverage of international standards, the E.U. PSDII and GDPR directives, and on different perspectives on presentation attack evaluation.

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

  • University of Southampton, Southampton, UK

    Mark S. Nixon

  • Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  • EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

About the editors

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

Prof. 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. He pioneered gait as a biometric, and later joined the pioneers of ear and of soft biometrics. He has worked with many international projects and conferences. He is the currentPresident of the IEEE Biometrics Council, Vice Chair IEEE PSPB, and a member of IAPR TC4 Biometrics.

Prof. Julian Fierrez is an Associate 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 an Associate Professor at EURECOM, Biot, France where he heads research in Speech and Audio Processing with the Digital Security Department. He led or co-led a number of recent special issues related to anti-spoofing, participated in the EU BIOSECURE, TABULA RASA and OCTAVE projects and is among the co-founders of the ASVspoof initiative and challenge series.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access