Composite vector selection for feature extraction in face recognition

被引：3
|
作者：
Choi, Sang-Il [1 ]
Choi, Younggeun [1 ]
Kim, Hyunjin [2 ]
机构：
[1] Dankook Univ, Dept Appl Comp Engn, Yongin, Gyeonggi Do, South Korea
[2] Dankook Univ, Dept Elect & Elect Engn, Yongin, Gyeonggi Do, South Korea
来源：
ELECTRONICS LETTERS | 2013年 / 49卷 / 02期
关键词：
ILLUMINATION;
D O I：
10.1049/el.2012.3416
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Proposed is a composite vector selection method based on discriminant analysis for face recognition. By measuring the amount of discriminant information in each composite vector, informative composite vectors can be selected. Then, composite features for face recognition are extracted with only the selected composite vectors. The experimental results show that the proposed method results in improved performance.
引用
收藏
页码：104 / 105
页数：2
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