Abstract: The present application proposes a method and system for improving the multi-angle face recognition accuracy, comprising: performing image collection on the face from N preset collection positions, and obtaining N face comparison images; respectively extracting the background parameters of the N face comparison images, comparing the background parameters with the M preset background parameter intervals, and respectively storing the N face comparison images into the corresponding face comparison image set of the M preset background parameter intervals according to the comparison result; collecting a real-time image of the target face; extracting target background parameters in the real-time image of the target face, comparing the target background parameter with the M preset background parameter intervals, and performing face recognization comparison on the real-time image of the target face corresponding to the target background parameter and the face comparison image in the face comparison image set correspo

Abstract: The present application discloses a method and a system for improving multi-threaded face recognition accuracy. The method includes: acquiring an initial image; performing a face extraction on the initial image in the first CPU to obtain a face image; performing a feature extraction on the face image in the second CPU, and transmitting the facial features extracted by the feature extraction to the first CPU for a face feature comparison; outputting the face feature comparison result, after the second CPU extracts the face features in the face image, and the first CPU performs the face feature comparison according to the face features.