Face recognition method, device, storage medium and electronic equipment

Abstract

The invention relates to a face recognition method, a face recognition device, a storage medium and electronic equipment, and belongs to the technical field of face recognition. The method comprises the following steps: carrying out the key point detection when a first face image is received; obtaining an recognition score of each detectable key point and a number of a missing key point; obtainingthe influence score of the shielded area of part of the face features on the recognized face; when the influence score is higher than a predetermined score threshold, obtaining a plurality of targetkey points having a predetermined face feature association relationship with the missing key points in the plurality of detectable key points; obtaining a target face feature template of which the position combination degree with the plurality of target key points is greater than a preset combination degree threshold; and stitching the target face feature template with the first face image to obtain a second face image, and performing face recognition after detecting all key points according to the second face image. According to the invention, when the human face features are missing, the features are accurately supplemented, so that the human face recognition can be efficiently and accurately carried out.

Description

technical field [0001] The present disclosure relates to the technical field of face recognition, and in particular, to a face recognition method, device, storage medium and electronic equipment. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. [0003] At present, the recognition rate of face recognition is usually high enough in the normal evaluation environment with a complete face, but that is the evaluation in a normal environment. In some scenes where the face image is deliberately decorated with incompleteness, the recognition rate will be greatly reduced. The collected incomplete face images usually cannot match the preset faces in the database, so as to complete face recognition. [0004] It should be noted that the information disclosed in the above background section is only for enhancing the understanding of the background of the present disclosure, and therefore may include in...

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Problems solved by technology

[0003] At present, the recognition rate of face recognition is usually high enough in the normal evaluation environment with a complete face, but that is the evaluation in a normal environment. In some scenes where the face image is deliberately decorated with incompleteness, the recognition rate will be greatly reduced. The collected incomplete face images usually do not match the preset faces in the database, thus completing face recognition

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