DocumentCode :
2477691
Title :
Uncertainty based classification fusion - a soft-biometrics test case
Author :
Gamboa, Hugo ; Fred, Ana L N
Author_Institution :
Inst. de Telecomun., Portugal
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
We address the problem of classification of data with low separability. We adopt a Bayesian approach, with discriminant functions expressing a posteriori class probabilities. We propose a novel classification scheme incorporating classification error probability estimates in the decision process. We extend this approach into a classifier fusion framework. Presented methods are evaluated in the context of user authentication, using multimodal biometrics. Results on real data confirm the usefulness of the proposed method, outperforming the corresponding deterministic classifier.
Keywords :
Bayes methods; biometrics (access control); error statistics; sensor fusion; signal classification; Bayesian approach; decision process; deterministic classifier; discriminant function; multimodal biometrics; posteriori class error probability estimate; soft-biometrics test case; uncertainty-based data classification fusion; user authentication; Authentication; Bayesian methods; Biometrics; Error probability; Parametric statistics; Random variables; Telecommunications; Testing; Training data; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761229
Filename :
4761229
Link To Document :
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