Method and system for screening face images

Abstract

The invention relates to a method and system for screening face images. The method comprises the following steps: according to preset face integrity standards, face size threshold and face position threshold, obtaining a first screening result; according to a preset definition threshold, obtaining a second screening result; according to a preset best angle threshold, obtaining a third screening result; and according to the sum of similarities between each face image and other face images, the definition of each face image and the face deflection angle, obtaining the weighting sum of each face image in the third screening result, and acquiring a face image with the maximum weighting sum for face identification. The method can be used for solving the problem that the face is mistakenly identified due to the low quality of an input image, the data volume of the face images is effectively reduced, and the operation load during face identification is relieved; and moreover, the data volume of the face images is reduced, front face images with high quality are effectively screened to be identified, and the accuracy and real-time performance of face identification are improved.

Description

technical field [0001] The invention relates to a face image screening method and system. Background technique [0002] Face recognition is considered to be a widely used biometric identification technology, and it has broad application prospects in the field of security protection such as criminal investigation, document verification, video surveillance, etc. Face recognition can be divided into two methods: face recognition based on static images and face recognition based on image sequences. Most of the current research on face recognition is also based on image sequences. In the face recognition method based on image sequence, the automatic face recognition system needs to detect and intercept the face image from the collected image sequence and use it in the subsequent face recognition process. In the existing face recognition system, the face image that has been collected needs to be used in the recognition stage, so the quality of the face image will directly affect...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a face image screening method and system, which can solve the problem of face recognition errors caused by low input image quality, effectively reduce the data volume of face images, and ease the calculation of face recognition At the same time, it can reduce the amount of data for face recognition, effectively select high-quality positive face images for recognition, and improve the accuracy and real-time performance of face recognition.

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