DocumentCode :
595198
Title :
A discriminative parametric approach to video-based score-level fusion for biometric authentication
Author :
Poh, Norman ; Kittler, Josef ; Alkoot, F.
Author_Institution :
CVSSP, Univ. of Surrey, Guildford, UK
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
2335
Lastpage :
2338
Abstract :
Video-based biometric systems are becoming feasible thanks to advancement in both algorithms and computation platforms. Such systems have many advantages: improved robustness to spoof attack, performance gain thanks to variance reduction, and increased data quality/resolution, among others. We investigate a discriminative video-based score-level fusion mechanism, which enables an existing biometric system to further harness the riches of temporarily sampled biometric data using a set of distribution descriptors. Our approach shows that higher order moments of the video scores contain discriminative information. To our best knowledge, this is the first time this higher order moment is reported to be effective in the score-level fusion literature. Experimental results based on face and speech unimodal systems, as well as multimodal fusion, show that our proposal can improve the performance over that of the standard fixed rule fusion strategies by as much as 50%.
Keywords :
face recognition; image fusion; image resolution; speech recognition; video retrieval; video signal processing; data quality improvement; data resolution improvement; discriminative parametric video-based score-level fusion mechanism; distribution descriptors; face unimodal systems; multimodal fusion; performance gain improvement; speech unimodal systems; spoof attack robustness improvement; variance reduction; video-based biometric authentication systems; Face; Logistics; Measurement; Proposals; Speech; Standards; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460633
Link To Document :
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