DocumentCode
2574061
Title
Face recognition based on fuzzy Independent Component Analysis
Author
He, Xiqin ; Guo, Liangdong ; Wang, Cunrui ; Liu, Xiangdong
Author_Institution
Inst. of Appl. Math., Univ. of Sci. & Technol. Liaoning, Anshan, China
fYear
2011
fDate
27-29 June 2011
Firstpage
412
Lastpage
415
Abstract
Based on Independent Component Analysis (ICA) and fuzzy membership functions, a new method of face image feature extraction and recognition is proposed. The new face recognition algorithm processes classification and identification of face images with combination of Independent Component Analysis and membership functions. The experiment results on ORL face databases show that the recognition algorithm is feasible and has good recognition capability.
Keywords
face recognition; feature extraction; fuzzy set theory; image classification; independent component analysis; visual databases; ICA; ORL face databases; face image feature extraction; face recognition; fuzzy independent component analysis; fuzzy membership functions; Algorithm design and analysis; Face; Face recognition; Feature extraction; Independent component analysis; Principal component analysis; Analysis (PCA); Face Recognition; Feature Generation; Independent Component Analysis (ICA); Principal Component;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5972138
Filename
5972138
Link To Document