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Recognition method for face wearing mask

A face recognition and mask technology, applied in the field of face recognition wearing masks, can solve the problems of large amount of calculation and inapplicability, and achieve the effect of reducing the number of parameters and the amount of calculation, improving the recognition accuracy, and avoiding the loss of low-dimensional information.

Pending Publication Date: 2022-03-22
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

The disadvantage is that the amount of calculation is large, and it is not suitable for real-time detection scenarios

Method used

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  • Recognition method for face wearing mask
  • Recognition method for face wearing mask
  • Recognition method for face wearing mask

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Embodiment Construction

[0101] In order to make the purpose, technical solutions and advantages of the application clearer, the technical solutions in the embodiments of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the application. Obviously, the described embodiments are the Claim some of the examples, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0102] The purpose of this embodiment is to solve the deficiencies and defects of the prior art, and provide a method that can quickly and accurately identify the face of a person wearing a mask. A schematic flow chart of a face recognition method wearing a mask in this embodiment is as follows figure 1 As shown, it specifically includes two stages of building a feature library and recognizing faces:

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Abstract

The invention discloses a mask-worn face recognition method, which comprises the following steps of: acquiring a real-time picture by an equipment camera, inputting the picture into a trained mask detection model, and if mask wearing is detected, inputting a portrait into an eye detection model, and inputting a detected eye image into an eye feature extraction network to obtain eye features; and if the matched mask is not detected, inputting the portrait into the face feature extraction network to obtain face features, comparing cosine similarity between the features and a corresponding feature library, and outputting a recognition result meeting conditions. According to the method, the difference between the face wearing the mask and the normal face is considered, the recognizable area is fully utilized, and the feature library is separated, so that the equipment can recognize the normal face and the face wearing the mask, and the recognition precision is improved.

Description

technical field [0001] The invention relates to the fields of deep learning and pattern recognition, in particular to a face recognition method for wearing a mask. Background technique [0002] With the continuous development of computer vision algorithms and image recognition technology, face recognition technology is becoming more and more mature, and it is applied to various scenarios such as payment, access control, and punching cards. Traditional face recognition technology is difficult to accurately identify identities in the case of partial occlusion. . Since the outbreak of novel coronavirus pneumonia, wearing a mask to travel has become the norm in people's lives. In face recognition scenarios, such as security checks, payments, etc., masks need to be removed, which is inconvenient and brings new challenges to epidemic prevention work. [0003] Wright et al. used sparse representation for partially occluded face recognition, and proposed a face recognition algorit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/16G06V40/18G06V10/46G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/24
Inventor 谢巍魏金湖余锦伟杨启帆
Owner SOUTH CHINA UNIV OF TECH
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