Face Recognition Based on Log-Gabor Filter Binary Transformation

被引：0
|
作者：
Zhuang De-Wen [1 ,2 ]
Zhou De-Long [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310032, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Coll Sci, Hangzhou 310032, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年
关键词：
Biomimetic Pattern Recognition; Face Recognition; Log-Gabor Filter; Binary Transformation; MODELS; PCA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel face recognition model based on the principle of high dimensional biomimetic information theory which is based on "things cognition" instead of "things classification", and is more close to the human beings behavior is proposed. By Log-Gabor filtering, 24 Gabor sub-images were gained, then by thresholding these sub-images for binary transformation. Decision is made by minimum Hamming distances. Experiments performed on the JDL_A databases show the provided method can achieve a better performance than the baseline PCA method.
引用
收藏
页码：2792 / 2795
页数：4
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