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