DocumentCode
2703905
Title
DT-CWT Feature Based Face Recognition Using Supervised Kernel ONPP
Author
Sun, Yuehui
Author_Institution
Guangdong Univ. of Technol., Guangzhou
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
312
Lastpage
315
Abstract
A novel DT-CWT feature-kernel face recognition method is proposed in this paper. This involves transforming a face image with DT-CWT on feature extraction stage, and supervised kernel Orthogonal Neighborhood Preserving Projections (ONPP) being then automatically applied to the feature vectors. Numerical experiments are reported to illustrate the performance of our algorithm and to compare it with a few competing methods.
Keywords
face recognition; feature extraction; wavelet transforms; DT-CWT feature-kernel face recognition; face image; feature extraction; feature vectors; supervised kernel ONPP; supervised kernel orthogonal neighborhood preserving projections; Computational intelligence; Face recognition; Feature extraction; Independent component analysis; Information security; Kernel; Linear discriminant analysis; Principal component analysis; Sun; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3073-4
Type
conf
DOI
10.1109/CISW.2007.4425499
Filename
4425499
Link To Document