DocumentCode
27720
Title
Composite vector selection for feature extraction in face recognition
Author
Sang-Il Choi ; Younggeun Choi ; Hyunjin Kim
Author_Institution
Dept. of Appl. Comput. Eng., Dankook Univ., Yongin, South Korea
Volume
49
Issue
2
fYear
2013
fDate
January 17 2013
Firstpage
104
Lastpage
106
Abstract
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.
Keywords
face recognition; feature extraction; composite vector selection method; discriminant analysis; discriminant information; face recognition; feature extraction; informative composite vectors;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2012.3416
Filename
6420078
Link To Document