Facial Expression Recognition based on Gabor Wavelet Transform
Xie Jin-fan · Communications technology · 2014
Aiming at the high dimensions of Gabor wavelets feature in facial expression recognition,a new method for coding Gabor multi-orientation features is proposed. After statistical processing of the Gabor features and binary processing of the magnitudes of different orientations,the local structural information representation of the image by Gabor wavelet is enhanced. Meanwhile,for reducing the image dimensions, a similar method as in the Rotation Invariant LBP is used and discussed. Furthermore,a method for fusing the local facial regions is employed,thus to improve the expression recognition rate. The experiment on JAFFE database indicates a fairly good recognition rate,and this verifies the effectiveness of the proposed algorithm.