Human face recognition method and device based on artificial intelligence, electronic equipment and medium

A face recognition and artificial intelligence technology, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve the problems of unable to collect face images, affect the efficiency of face recognition, and low accuracy of face recognition , to achieve the effects of saving equipment resources, improving efficiency, and reducing the amount of calculation

Pending Publication Date: 2020-10-16
CHINA PING AN LIFE INSURANCE CO LTD
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AI Technical Summary

Problems solved by technology

[0003] At present, under the influence of the camera equipment and the relative position of the face, it is impossible to collect multiple face images of the same user from different angles. Therefore, when comparing face features, the accuracy of face recognition will be low. In addition, , because the face featur

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  • Human face recognition method and device based on artificial intelligence, electronic equipment and medium
  • Human face recognition method and device based on artificial intelligence, electronic equipment and medium
  • Human face recognition method and device based on artificial intelligence, electronic equipment and medium

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[0087] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0088] like figure 1 Shown is a flowchart of a preferred embodiment of the artificial intelligence-based face recognition method of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0089] The artificial intelligence-based face recognition method is applied to one or more electronic devices, and the electronic device is a device that can automatically perform numerical calculations and / or information processing according to preset or stored instructions. Hardware includes, but is not limited to, microprocessors, Application Specific Integrated Circuits (ASICs), Programmable Gate Arrays (Field-Programmable Gate Arrays, FPGAs), digital processors (Dig...

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Abstract

The invention relates to artificial intelligence, and provides a face recognition method and device based on artificial intelligence, electronic equipment and a medium. The method comprises the stepsof extracting a to-be-recognized image and determining a face area; extracting facial feature information points, constructing a three-dimensional face image of the to-be-recognized image based on theface feature information points; extracting a plurality of target features from the three-dimensional face image, calculating the similarity between the plurality of target features and configurationfeatures in a configuration library, according to the face recognition method and device, multiple face images at multiple angles do not need to be obtained through camera equipment, the target usercan be determined only through one face image, equipment resources are saved, meanwhile, the face recognition efficiency is improved, and the face recognition precision can also be improved. In addition, the invention also relates to a blockchain technology, and the three-dimensional face image is stored in a blockchain.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based face recognition method, device, electronic equipment and media. Background technique [0002] Face recognition technology is a biometric identification technology based on human facial feature information. This technology actually uses camera equipment to collect images or video streams containing human faces, and automatically detects and tracks people in the images. face, and then perform facial recognition on the detected faces. [0003] At present, under the influence of the camera equipment and the relative position of the face, it is impossible to collect multiple face images of the same user from different angles. Therefore, when comparing face features, the accuracy of face recognition will be low. In addition, , because the face features stored in the configuration library are images from a relatively single shoo...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06V40/174G06F18/22
Inventor 邹泽宇
Owner CHINA PING AN LIFE INSURANCE CO LTD
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