DocumentCode
2244932
Title
Face recognition based on 2DPCA and fuzzy-rough technique
Author
Zhai, Jun-hai ; Bai, Chen-yan ; Zhang, Su-fang
Author_Institution
Machine Learning Center, Hebei Univ., Baoding, China
Volume
2
fYear
2010
fDate
11-14 July 2010
Firstpage
725
Lastpage
729
Abstract
To remove the redundant features extracted by using 2DPCA methods, a face recognition method is presented based on 2DPCA and fuzzy-rough technique in this paper. The proposed method selects the important features for classification by using attribute reduction in fuzzy rough sets theory. The experimental results show the proposed method outperforms the face recognition methods based on 2DPCA.
Keywords
face recognition; feature extraction; fuzzy set theory; image classification; principal component analysis; rough set theory; 2DPCA; attribute reduction; face recognition; feature classification; feature extraction; fuzzy rough set theory; Covariance matrix; Databases; Face; Face recognition; Feature extraction; Principal component analysis; Rough sets; 2DPCA; Face recognition; Feature selection; Fuzzy information system; Fuzzy rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580567
Filename
5580567
Link To Document