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- W2350691596 abstract "Face recognition is an active subject in the area of biometrics. Lots of achievements have been obtained using face recognition techniques, but generally we cant get high recognition rate and satisfied person authentication effect using single classifier. This paper discusses the familiar fusion methods like product, sum, median and vote rules according to Bayesian theory. And two modified vote rules are presented comparing with election in the real world. Then, these methods are used for decision-fusion of multiple face recognition classifiers: synergetic face recognition classifier, eigenfaces classifier and composite-approach classifier. Experiments with face samples in ORL databases show that the proposed face recognition method has good classifying performance, reliable recognition rate, and strong robustness to defiled and low-resolution face images. More important is that the proposed method also has satisfied experimental results in face person authentication." @default.
- W2350691596 created "2016-06-24" @default.
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- W2350691596 date "2004-01-01" @default.
- W2350691596 modified "2023-09-23" @default.
- W2350691596 title "Fusion of Multiple Classifiers for Face Recognition and Person Authentication" @default.
- W2350691596 hasPublicationYear "2004" @default.
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