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Combining two strategies to optimize biometric decisions against spoofing attacks
Li W.3; Poh N.2; Zhou Y.1
2014
Conference Name8th Conference of Optics and Photonics for Information Processing
Source PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume9216
Conference DateAUG 18-20, 2014
Conference PlaceSan Diego, CA
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.

KeywordBiometric Authorization Biometric Verification Spoof Attack
DOIhttp://doi.org/10.1117/12.2061785
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Optics ; Physics
WOS SubjectEngineering, Electrical & Electronic ; Optics ; Physics, Applied
WOS IDWOS:000345007500040
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.University of Surrey
3.Tsinghua University
Recommended Citation
GB/T 7714
Li W.,Poh N.,Zhou Y.. Combining two strategies to optimize biometric decisions against spoofing attacks[C],2014.
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