Optimal decision fusion for a face verification system

被引：0
|
作者：
Tao, Qian [1 ]
Veldhuis, Raymond [1 ]
机构：
[1] Univ Twente, Fac EEMCS, Signals & Syst Grp, Enschede, Netherlands
来源：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2007年 / 4642卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fusion is a popular practice to increase the reliability of the biometric verification. In this paper, optimal fusion at decision level by AND rule and OR rule is investigated. Both a theoretical analysis and the experimental results are given. Comparisons are presented between fusion at decision level and fusion at matching score level. For our face verification system, decision fusion proves to be a simple, practical, and effective approach, which significantly improves the performance of the original classifier.
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收藏
页码：958 / +
页数：3
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