Title :
DT-CWT Feature Based Face Recognition Using Supervised Kernel ONPP
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
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;
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
DOI :
10.1109/CISW.2007.4425499
