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Introduction to Face Presentation Attack Detection

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Handbook of Biometric Anti-Spoofing

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

Abstract

The main scope of this chapter is to serve as a brief introduction to face presentation attack detection. The next pages present the different presentation attacks that a face recognition system can confront, in which an attacker presents to the sensor, mainly a camera, an artifact (generally a photograph, a video, or a mask) to try to impersonate a genuine user. First, we make an introduction of the current status of face recognition, its level of deployment, and the challenges it faces. In addition, we present the vulnerabilities and the possible attacks that a biometric system may be exposed to, showing that way the high importance of presentation attack detection methods. We review different types of presentation attack methods, from simpler to more complex ones, and in which cases they could be effective. Later, we summarize the most popular presentation attack detection methods to deal with these attacks. Finally, we introduce public datasets used by the research community for exploring the vulnerabilities of face biometrics and developing effective countermeasures against known spoofs.

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Notes

  1. 1.

    http://real-f.jp, http://www.thatsmyface.com, https://shapify.me, and http://www.sculpteo.com.

  2. 2.

    http://www.thatsmyface.com/.

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Acknowledgements

This work was done in the context of the TABULA RASA and BEAT projects funded under the 7th Framework Programme of EU, the project CogniMetrics (TEC2015-70627-R), the COST Action CA16101 (Multi-Foresee), and project Bio-Guard (Ayudas Fundación BBVA a Equipos de Investigación Científica 2017). Author J. H.-O. is supported by a FPI Fellowship from Universidad Autonoma de Madrid.

Author information

Authors and Affiliations

  1. Biometrics and Data Pattern Analytics - BiDA Lab, Universidad Autonoma de Madrid, Madrid, Spain

    Javier Hernandez-Ortega

  2. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  3. School of Engineering, Universidad Autonoma de Madrid, Madrid, Spain

    Aythami Morales

  4. European Commission - DG Joint Research Centre, Ispra, Italy

    Javier Galbally

Authors
  1. Javier Hernandez-Ortega
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  2. Julian Fierrez
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  3. Aythami Morales
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  4. Javier Galbally
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Corresponding author

Correspondence to Javier Hernandez-Ortega .

Editor information

Editors and Affiliations

  1. Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  2. University of Southampton, Southampton, UK

    Mark S. Nixon

  3. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  4. EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

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Hernandez-Ortega, J., Fierrez, J., Morales, A., Galbally, J. (2019). Introduction to Face Presentation Attack Detection. In: Marcel, S., Nixon, M., Fierrez, J., Evans, N. (eds) Handbook of Biometric Anti-Spoofing. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-92627-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-92627-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92626-1

  • Online ISBN: 978-3-319-92627-8

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