Face Recognition Method Based on Gabor Phase Texture Representation
Sen Wang · Jisuanji gongcheng · 2011
To reduce the dimensionality of the Gabor feature,this paper presents a novel approach called Gabor Phase-based Texture Representation(GPTR) for face recognition.GPTR is characterized by using the Generalized Gaussian Density(GGD) to model the Gabor phase distribution.The estimated model parameters serve as texture representation,which is then analyzed by Locality Preserving Projections(LPP) to make them more discriminative.Experimental results on FERET and Yale databases show that GPTR is superior to traditional Gabor features in terms of recognition accuracy.