Encyclopedia of Biometrics

Living Edition
| Editors: Stan Z. Li, Anil K. Jain

Anti-spoofing: Evaluation Methodologies

  • Ivana ChingovskaEmail author
  • André Anjos
  • Sébastien Marcel
Living reference work entry
DOI: https://doi.org/10.1007/978-3-642-27733-7_9212-2



Following the definition of the task of the anti-spoofing systems to discriminate between real accesses and spoofing attacks, anti-spoofing can be regarded as a binary classification problem. The spoofing databases and the evaluation methodologies for anti-spoofing systems most often comply to the standards for binary classification problems. However, the anti-spoofing systems are not destined to work stand-alone, and their main purpose is to protect a verification system from spoofing attacks. In the process of combining the decision of an anti-spoofing and a recognition system, effects on the recognition performance can be expected. Therefore, it is important to analyze the problem of anti-spoofing under the umbrella of biometric recognition systems. This brings certain requirements in the database design, as well as adapted concepts for evaluation of biometric recognition systems under spoofing attacks.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ivana Chingovska
    • 1
    Email author
  • André Anjos
    • 1
  • Sébastien Marcel
    • 1
  1. 1.Idiap Research InstituteMartignySwitzerland