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Proceedings Paper

Combining two strategies to optimize biometric decisions against spoofing attacks
Author(s): Weifeng Li; Norman Poh; Yicong Zhou
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Paper 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.

Paper Details

Date Published: 19 September 2014
PDF: 8 pages
Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92161H (19 September 2014); doi: 10.1117/12.2061785
Show Author Affiliations
Weifeng Li, Tsinghua Univ. (China)
Univ. of Macau (Macao, China)
Norman Poh, Univ. of Surrey (United Kingdom)
Yicong Zhou, Univ. of Macau (Macao, China)


Published in SPIE Proceedings Vol. 9216:
Optics and Photonics for Information Processing VIII
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Andrés Márquez, Editor(s)

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