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Anti-spoofing, Iris Databases

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  • First Online:
Encyclopedia of Biometrics

Synonyms

Liveness detection; Presentation attack detection; Spoofing countermeasures; Spoof detection; Spoof resistance; Vitality tests

Definition

Anti-spoofing may be defined as the pattern recognition problem of automatically differentiating between real and fake biometric samples produced with a synthetically manufactured artifact (e.g., iris photograph or plastic eye). As with any other machine learning problem, the availability of data is a critical factor in order to successfully address this challenging task. Furthermore, such data should be public, so that the performance of different protection methods may be compared in a fully fair manner. This entry describes general concepts regarding spoofing dataset acquisition and particularizes them to the field of iris recognition. It also gives a summary of the most important features of the public iris spoofing databases currently available.

Introduction

One of the key challenges faced by the rapidly evolving biometric industry is...

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References

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Author information

Authors and Affiliations

  1. Institute for the Protection and Security of the Citizen, Joint Research Centre European Commission, 21027, Ispra (VA), Italy

    Javier Galbally

  2. Cyberisk Limited, London, UK

    Anna Bori Toth

Authors
  1. Javier Galbally
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  2. Anna Bori Toth
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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Galbally, J., Toth, A.B. (2015). Anti-spoofing, Iris Databases. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_9050

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