Abstract: In order to solve the problem of unclear face information in face recognition under face occlusion, and optimize the face recognition system, a local occlusion face image recognition method based on face edge details is proposed. The face image denoised according to the sparse expression, the edge of the face image is detected according to the principle of image gray transformation, the edge region is segment, and its threshold is calculated to obtain the edge information of the face image. The face feature is marked points to enhance the accuracy of information recognition, the feature descriptor of face image is extracted, it is input into support vector machine model, and local occlusion face image recognition is realized through training. The experimental results show that the average recognition rate of face image under the application of the proposed method is higher than 73% and the recognition time is less than 20 s. 

Key words: compressed sensing, sparse transform domain of images, regional threshold, pyramid structure map, Gaussian blur difference