A facial expression identification method based on a Gabor wavelet and a gray-level co-occurrence matrix. According to the method, firstly, a pure face region in an expression image is extracted by a manual partitioning method and color image gray processing, histogram equalization and scale normalization processing are carried out; then data redundancies of conventional Gabor features are greatly reduced by a method for carrying out block extraction on a Gabor feature statistic, and the gray-level co-occurrence matrix which reflects the image texture features is introduced into the field of expression identification for the first time so as to make up the defect of deficiency of pixel spatial relativity, which is caused by Gabor feature block processing; and finally, a set of low-dimension feature vectors for feature expression are generated and on the premise of ensuring a high expression identification rate, the expression identification rate is greatly improved.