Provided in the present invention is an anti-angle and occlusion interference fast face recognition method, comprising: first collecting an image training set of a face that is subject to face detection and that is cropped, adjusting and expanding the training set, and performing standardized pre-processing; inputting the same into a constructed neural network for training, and saving a parametric model; adjusting test data to a suitable size and channel number, and also performing standardized pre-processing; inputting the same into a prediction network to obtain a facial image feature vector; and determining whether two faces are from the same person by means of calculating the distance of the facial image feature vector. The present invention has no specific requirements for angles of photos of faces, and the comparison effect of the photos of faces wearing glasses is obvious. Therefore, there is no need to worry about the problem of side face angles and glasses occlusion affecting the face comparison. In addition, the comparison method of the present invention is simple, and gpu is used to accelerate and improve the calculation performance, which may be applied to a real-time environment.
ANTI-ANGLE AND OCCLUSION INTERFERENCE FAST FACE RECOGNITION METHOD