DocumentCode :
2119143
Title :
Hybrid fusion for biometrics: Combining score-level and decision-level fusion
Author :
Tao, Qian ; Veldhuis, Raymond
Author_Institution :
Signals & Syst. Group, Univ. of Twente Postbus 217, Enschede
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
6
Abstract :
A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.
Keywords :
biometrics (access control); image fusion; image recognition; sensitivity analysis; statistical distributions; ROC; biometric system; decision-level fusion; hybrid fusion method; matching score distribution; personal identity verification; score-level fusion; Bioinformatics; Biometrics; Biosensors; Data mining; Degradation; Error analysis; Information security; Robustness; Sensor fusion; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location :
Anchorage, AK
ISSN :
2160-7508
Print_ISBN :
978-1-4244-2339-2
Electronic_ISBN :
2160-7508
Type :
conf
DOI :
10.1109/CVPRW.2008.4563106
Filename :
4563106
Link To Document :
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