Face recognition system based on block Gabor feature collaborative representation

被引：0

作者：

Liu Z. ^{[1
,2
]}

机构：

[1] College of automation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu

[2] Network and modern education technology center, Guangxi University of Science and Technology, Liuzhou, Guangxi

来源：

Automatic Control and Computer Sciences | 2016年 / 50卷 / 05期

关键词：

block Gabor feature; collaborative representation; face recognition; robustness;

D O I：

10.3103/S0146411616050102

中图分类号：

学科分类号：

摘要：

Face recognition, one of the biological recognitions, has received extensive concern due to its secrecy and friendly cooperation. Gabor wavelet is an important tool in face feature description. In order to reduce the loss of useful information during down sampling, this work puts forward a Gabor feature representation method based on block statistics, which enhances the efficiency of Gabor feature representation. This study was designed to explore face recognition algorithms on the basis of highly recognizable and real-time collaborative representation. Experimental results indicated that, the face recognition based on block Gabor feature collaborative representation not only guaranteed the calculation speed, but also took full advantage of the robustness of Gabor feature. Besides, the block Gabor feature containing more details further improved the recognition rate. © 2016, Allerton Press, Inc.

引用

页码：318 / 323

页数：5

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