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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580567
