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Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances

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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 an introduction to face presentation attack detection, including key resources and advances in the field in the last few years. 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, a Presentation Attack Instrument (PAI), that is generally a photograph, a video, or a mask, with the target to impersonate a genuine user or to hide the actual identity of the attacker via obfuscation. First, we make an introduction of the current status of face recognition, its level of deployment, and its challenges. In addition, we present the vulnerabilities and the possible attacks that a face recognition 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. Then, 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 vulnerabilities of face biometrics to presentation attacks and develo** effective countermeasures against known PAIs.

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Notes

  1. 1.

    https://3dthis.com, https://www.reallusion.com/character-creator/headshot.

  2. 2.

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

  3. 3.

    http://www.thatsmyface.com/.

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Acknowledgements

This work was mostly done (2nd Edition of the book) in the context of the TABULA RASA and BEAT projects funded under the 7th Framework Programme of EU. The 3rd Edition update has been made in the context of EU H2020 projects PRIMA and TRESPASS-ETN. This work was also partially supported by the Spanish project BIBECA (RTI2018-101248-B-I00 MINECO/FEDER).

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Authors and Affiliations

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

    Javier Hernandez-Ortega, Julian Fierrez & Aythami Morales

  2. eu-LISA / European Union Agency for the Operational Management of Large-Scale IT Systems in the Area of Freedom, Security and Justice, Tallinn, Estonia

    Javier Galbally

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  1. Javier Hernandez-Ortega
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Correspondence to Javier Hernandez-Ortega , Julian Fierrez , Aythami Morales or Javier Galbally .

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  1. Idiap Research Institute, Martigny, Switzerland

    Sébastien Marcel

  2. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

  3. EURECOM, Biot Sophia Antipolis, France

    Nicholas Evans

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Hernandez-Ortega, J., Fierrez, J., Morales, A., Galbally, J. (2023). Introduction to Presentation Attack Detection in Face Biometrics and Recent Advances. In: Marcel, S., Fierrez, J., Evans, N. (eds) Handbook of Biometric Anti-Spoofing. Advances in Computer Vision and Pattern Recognition. Springer, Singapore. https://doi.org/10.1007/978-981-19-5288-3_9

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