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Introduction to Iris 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

Iris recognition technology has attracted an increasing interest since more than two decades in which we have witnessed a migration from laboratories to real-world applications. The deployment of this technology in real applications raises questions about the main vulnerabilities and security threats related to these systems. Presentation attacks can be defined as presentation of human characteristics or artifacts directly to the input of a biometric system trying to interfere with its normal operation. These attacks include the use of real irises as well as artifacts with different levels of sophistication. This chapter introduces iris presentation attack detection methods and its main challenges. First, we summarize the most popular types of attacks including the main challenges to address. Second, we present a taxonomy of presentation attack detection methods to serve as a brief introduction on this very active research area. Finally, we discuss the integration of these methods into iris recognition systems according to the most important scenarios of practical application.

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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. This work was supported in part by the CogniMetrics Project under Grant TEC2015-70627-R from MINECO/FEDER.

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Authors and Affiliations

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

    Aythami Morales

  2. Universidad Autonoma de Madrid, Madrid, Spain

    Julian Fierrez

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

    Javier Galbally

  4. da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Darmstadt, Germany

    Marta Gomez-Barrero

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  1. Aythami Morales
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  2. Julian Fierrez
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  3. Javier Galbally
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  4. Marta Gomez-Barrero
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Correspondence to Aythami Morales .

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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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Morales, A., Fierrez, J., Galbally, J., Gomez-Barrero, M. (2019). Introduction to Iris 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_6

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  • DOI: https://doi.org/10.1007/978-3-319-92627-8_6

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