Combining two strategies to optimize biometric decisions against spoofing attacks

Weifeng Li; Norman Poh; Yicong Zhou

doi:10.1117/12.2061785

19 September 2014 Combining two strategies to optimize biometric decisions against spoofing attacks

Weifeng Li; Norman Poh; Yicong Zhou

Author Affiliations +

Proceedings Volume 9216, Optics and Photonics for Information Processing VIII; 92161H (2014) https://doi.org/10.1117/12.2061785
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

Spoof attack by replicating biometric traits represents a real threat to an automatic biometric verification/ authentication system. This is because the system, originally designed to distinguish between genuine users from impostors, simply cannot distinguish between a replicated biometric sample (replica) from a live sample. An effective solution is to obtain some measures that can indicate whether or not a biometric trait has been tempered with, e.g., liveness detection measures. These measures are referred to as evidence of spoofing or anti-spoofing measures. In order to make the final accept/rejection decision, a straightforward solution to define two thresholds: one for the anti-spoofing measure, and another for the verification score. We compared two variants of a method that relies on applying two thresholds – one to the verification (matching) score and another to the anti-spoofing measure. Our experiments carried out using a signature database as well as by simulation show that both the brute-force and its probabilistic variant turn out to be optimal under different operating conditions.

Citation Download Citation

Weifeng Li, Norman Poh, Yicong Zhou, "Combining two strategies to optimize biometric decisions against spoofing attacks", Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92161H (19 September 2014); doi: 10.1117/12.2061785; https://doi.org/10.1117/12.2061785

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