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Face recognition model building method, recognition method, device and storage medium

A face recognition and construction method technology, applied in the field of face recognition, can solve the problems of feature loss, face irregularity, and the effect of identifying and occluding faces is not as good as deep learning, so as to reduce the number of features and reduce memory consumption.

Active Publication Date: 2022-03-22
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0005] In real life, the occluder of the face is irregular, which is easy to cause problems such as feature loss, alignment error and local aliasing, which cannot be effectively processed by the traditional feature-based occluded face recognition method, resulting in the traditional The face recognition method is not as effective as deep learning in identifying occluded faces in an uncontrolled environment

Method used

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  • Face recognition model building method, recognition method, device and storage medium
  • Face recognition model building method, recognition method, device and storage medium
  • Face recognition model building method, recognition method, device and storage medium

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Embodiment Construction

[0039] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0040] Please refer to figure 1 , which shows a flow chart of a face recognition model construction method provided by an embodiment of the present application, the method may include the following steps:

[0041] Step 11: Obtain an unoccluded face image.

[0042] Step 12: Preprocess the face image. The preprocessing methods include but are not limited to image size normalization, illumination normalization, and grayscale conversion according to the requirements of the deep learning network. For example, to prevent images in the face database from The pixel size is different, normalize the size of the picture, and then perform histogram equalization on the face image to normalize the illumination, and use opencv to directly read t...

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Abstract

The invention discloses a face recognition model construction method, recognition method, device and storage medium, including preprocessing a face picture, and extracting four local areas of the preprocessed face picture, namely left eye, right eye, nose and mouth Carry out face segmentation, amplify the data based on the segmentation results, and consider the occlusion of 1 / 2 and 1 / 4 cases to perform data amplification respectively, and finally use the amplified data to train the deep learning neural network to construct Train the feature dataset to achieve face recognition based on feature matching. This method has a good recognition effect on occluded faces, does not require a large number of occluded samples, and occupies less memory.

Description

technical field [0001] The present application relates to the technical field of face recognition, and in particular to a face recognition model construction method, recognition method, device and storage medium. Background technique [0002] Face recognition uses the existing face image database to authenticate unknown face images, which is an important biometric technology in the field of artificial intelligence and image information processing. Compared with the current mainstream biometric technologies such as fingerprint recognition, iris recognition, and voice recognition, face recognition has the advantages of non-invasiveness, good concealment, and high user acceptance, and the biological characteristics of the face are unique and difficult to be detected. Reproducibility. Therefore, face recognition technology is welcomed by all sectors of society and is widely used in various fields such as education, medical care, military, finance, justice, and factories. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/16G06N3/04G06N3/08G06T7/11
CPCG06T7/11G06N3/08G06V40/161G06V40/171G06V40/172G06N3/045
Inventor 龙敏袁慧洁
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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