Abstract: A face recognition method is presented We select the best area of face according to relative entropy of each face type in each channel, extract selected area’s multi-channel Gabor feature and distribute weights to different results recognized by disparate Gabor channel according to relative entropy criterion. Experimental results was showed that comparing with integer Gabor token method and method using one best separability channel, the proposed method has high recognition rate and meanwhile has strong anti-noise ability.