Face Recognition Based on Log-Gabor Feature and Collaborative Representation

被引：1
|
作者：
Mu, Qi [1 ,2 ]
Li, Jiao [1 ]
Li, Zhanli [1 ]
机构：
[1] Xian Univ Sci & Technol, Coll Comp Sci & Technol, Xian 710054, Shaanxi, Peoples R China
[2] Xian Univ Sci & Technol, Coll Mech Engn, Xian 710054, Shaanxi, Peoples R China
来源：
2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 2 | 2017年
关键词：
face recognition; collaborative representation; feature extraction; block;
D O I：
10.1109/IHMSC.2017.207
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a face recognition method based on Log-Gabor feature and collaborative representation is proposed, which aims at the problem of Collaborative Representation which has low robustness in illumination change, expression change and occlusion. Firstly, Log-Gabor features of the images are extracted, then the face images are divided into blocks, finally the Collaborative Representation is used to compute the category of image. The algorithm was evaluated using three well-known face databases of Extended Yale B, AR and ORL, the experiment results show that this algorithm has better recognition rate.
引用
收藏
页码：423 / 427
页数：5
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