FACE RECOGNITION USING VOTING TECHNIQUE FOR THE GABOR AND LDP FEATURES

被引：0
作者：
Dagher, Issam [1 ]
Hassanieh, Jamal [1 ]
Younes, Ahmad [1 ]
机构：
[1] Univ Balamand, Dept Comp Engn, Koura, Lebanon
来源：
2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2013年
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：
Face recognition can be described by a sophisticated mathematical representation and matching procedures. In this paper, Local Derivative Pattern (LDP) descriptors along with the Gabor feature extraction technique were used to achieve highest percentage of recognition possible. A robust comparison method, the Chi Square Distance, was used as a matching algorithm. Four databases involving different image capturing conditions: positioning, illumination and expressions were used. The best results were obtained after applying a voting technique to the Gabor and the LDP features.
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页数：6
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