Face Image Gender Recognition Based on Gabor Transform and SVM

被引：0
|
作者：
Yan, ChunJuan [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Fac Informat, Qingdao 266061, Peoples R China
来源：
ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 2 | 2011年 / 144卷
关键词：
Gender Recognition; 2-D Gabor Transform; SVM;
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 order to overcome the disturbance of non-essential information such as illumination variations and facial expression changing, a new algorithm is proposed in this paper for face image gender recognition. That is, the 2-D Gabor transform is used for extracting the face features; a new method is put forwards to decrease dimensions of Gabor transform output for speeding up SVM training; finally gender recognition is accomplished with SVM classifier. Good performance of gender classification test is achieved on a relative large scale and low-resolution face database.
引用
收藏
页码：420 / 425
页数：6
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