Keyblock distribution and Gabor filter based facial expression recognition algorithm

A new facial expression recognition algorithm was proposed based on both image's keyblock spatial distribution and Gabor filters. The keyblock distribution information was added to the conventional Gabor filter based expression recognition algorithm, which improved the accuracy of expression recognition. Codebook with specific length was trained by employing the vector quantization technique, and then each image in the train set was encoded into index matrix in order to extract the index distribution of the image. Meanwhile, Gabor filter bank with 5 scales and 8 orientations was used to extract Gabor features of expression images. Finally, Gabor features and keyblock distribution information were combined to be used for expression recognition. Experimental results show that the proposed algorithm achieves better results than the algorithm that only based on Gabor features.