Handbook of Biometric Anti-Spoofing

Trusted Biometrics under Spoofing Attacks

  • Sébastien Marcel
  • Mark S. Nixon
  • Stan Z. Li

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

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Nesli Erdoğmuş, Sébastien Marcel
    Pages 1-11
  3. Christophe Champod, Marcela Espinoza
    Pages 13-34
  4. Javier Galbally, Julian Fierrez, Javier Ortega-Garcia, Raffaele Cappelli
    Pages 35-64
  5. André Anjos, Jukka Komulainen, Sébastien Marcel, Abdenour Hadid, Matti Pietikäinen
    Pages 65-82
  6. Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z. Li
    Pages 83-102
  7. Zhenan Sun, Tieniu Tan
    Pages 103-123
  8. Nicholas Evans, Tomi Kinnunen, Junichi Yamagishi, Zhizheng Wu, Federico Alegre, Phillip De Leon
    Pages 125-146
  9. John D. Bustard, Mohammad Ghahramani, John N. Carter, Abdenour Hadid, Mark S. Nixon
    Pages 147-163
  10. Giorgio Fumera, Gian Luca Marcialis, Battista Biggio, Fabio Roli, Stephanie Caswell Schuckers
    Pages 165-184
  11. Ivana Chingovska, André Anjos, Sébastien Marcel
    Pages 185-204
  12. Christoph Busch
    Pages 205-215
  13. Andrew P. Rebera
    Pages 233-245
  14. Back Matter
    Pages 247-281

About this book

Introduction

As the plethora of approaches to biometrics and their deployment continues to grow, so too does the need to combat the techniques used to subvert the aim of such biometric systems.

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. Across a range of common biometrics, including face, iris, fingerprint, speaker and gait, the book describes spoofing methods and examines the vulnerabilities of biometric systems to these attacks. Novel theoretical methods are also introduced to evaluate the various possible countermeasures.

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

This comprehensive text/reference is truly essential reading for all biometric researchers and practitioners in industry and academia. Graduate students of computer science and electronic engineering will also find the book to be a useful supplementary reference for courses on biometrics.

Keywords

Anti-Spoofing Biometrics Face Recognition Fingerprint Recognition Gait Recognition Iris Recognition Multi-Modal Recognition Speech Recognition Spoofing Vascular Recognition

Editors and affiliations

  • Sébastien Marcel
    • 1
  • Mark S. Nixon
    • 2
  • Stan Z. Li
    • 3
  1. 1.Idiap Research InstituteMartignySwitzerland
  2. 2.University of SouthamptonUnited Kingdom
  3. 3.Institute of Automation Center for Biometrics and Security ReseaChinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-6524-8
  • Copyright Information Springer-Verlag London 2014
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-6523-1
  • Online ISBN 978-1-4471-6524-8
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book