Face recognition system for correcting face cutting frame

Abstract

The invention provides a face recognition system for correcting a face cutting frame. The system comprises a face image acquisition and detection module, a face image preprocessing module, a face image feature extraction module and a matching and recognition module. The face image acquisition and detection module is responsible for receiving input of an image and is connected with the face image preprocessing module; the face image preprocessing module is connected with the face image feature extraction module, finally performs feature comparison of the matching and recognition module and finally outputs a result; the face image acquisition and detection module comprises a cutting module, and the cutting module is used for correcting an original face cutting frame based on face feature points in combination with five-point features of the face before cutting, so that important feature parts are not cut in the face cutting process. In the face recognition process, important feature parts are not cut in the face cutting process; the face cutting frame needs to be corrected in combination with the features before cutting, so that false detection of a face recognition system is avoided.

Description

technical field [0001] The invention relates to the technical field of intelligent video processing, in particular to a face recognition system for correcting a cropping frame of a face. Background technique [0002] At present, face recognition technology is widely used in identity authentication, security check, access control and other systems. The face recognition system mainly includes four components: face image acquisition and detection, face image preprocessing, face image feature extraction, and matching and recognition. Among them, the cropped face in the face image acquisition and detection process will directly affect the result of face recognition, because if the cropped face is different from the face stored in the system, such as shaved beard, changed hairstyle, or added glasses , Changing the expression may cause the comparison to fail. Therefore, in order to increase the accuracy of face recognition, the recognized face will cut out irrelevant background i...

AI Technical Summary

Problems solved by technology

This simple cropping strategy can easily crop the important features of the face (eyebrows, eyes, chin, etc.), resulting in an incomplete face, which affects the accuracy of face recognition

For example attached image 3 As shown, when the face shape is long, in order to obtain a face with equal width and height, when cutting half of the face, the eyes will be cut off

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