Occluded Face Recognition Based on the Deep Learning

Abstract

With the aggravation of social public security problems, the face recognition without occluded parts can no longer meet the needs of modern society. All kinds of face recognitions in complex environment need to be realized in the real situations. The paper proposed a new method to recognize the occluded face based on the deep learning. The face recognition model is trained and learned based on convolution neural network of the deep learning, which has strong robustness to illumination difference, facial expression change and facial occlusion. Through a large number of experimental tests and result analysis, the occluded face recognition rate can reach up to 98.6%. Therefore, this method proposed in the paper realizes face recognition with occlusion in complex environment and meets the needs of practical applications.