Sciweavers

Share
PCM
2004
Springer

Gabor-Kernel Fisher Analysis for Face Recognition

10 years 5 months ago
Gabor-Kernel Fisher Analysis for Face Recognition
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, which applies Enhanced Kernel Fisher Model (EKFM) on Gaborfaces derived from Gabor wavelet representation of face images. We show that the EKFM outperforms the Generalized Kernel Fisher Analysis (GKFD) model. The performance of G-EKFM is evaluated on a subset of FERET database and CAS-PEAL database by comparing with various face recognition schemes, such as Eigenface, GKFA, Image-based EKFM, Gabor-based GKFA, and so on.
Baochang Zhang
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PCM
Authors Baochang Zhang
Comments (0)
books