Face liveness detection method, system, device, computer equipment and storage medium

A live detection and detection technology, applied in the computer field, can solve problems such as low efficiency of live detection, difficulty in obtaining detection results for one image, and time-consuming consumption of multiple images, so as to improve user experience, avoid transmission delay, The effect of improving accuracy

Active Publication Date: 2020-11-17
TENCENT TECH (SHENZHEN) CO LTD
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AI Technical Summary

Problems solved by technology

[0003] At present, when using liveness detection technology to identify users, it is difficult to obtain accurate detection results from one image. In order to improve the accuracy of detection, users usually need to upload multiple images for analysis, but users need to wait for multiple images to be uploaded. Liveness detection can only be performed after success, and the transmission of multiple images takes a certain amount of time, resulting in low efficiency of liveness detection

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  • Face liveness detection method, system, device, computer equipment and storage medium
  • Face liveness detection method, system, device, computer equipment and storage medium
  • Face liveness detection method, system, device, computer equipment and storage medium

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[0067] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0068] The human face liveness detection method provided in the present application realizes liveness detection by using computer vision technology and machine learning technology in artificial intelligence technology (Artificial Intelligence, AI).

[0069] Computer Vision Technology (Computer Vision, CV) Computer vision is a science that studies how to make machines "see". More specifically, it refers to machine vision that uses cameras and computers instead of human eyes to identify, track and measure targets. And further graphics processing, so that the computer process...

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Abstract

The present application relates to a face detection method, system, device, computer equipment and storage medium. The method includes: receiving an image to be detected sent by a terminal, the image to be detected includes a human face of an object to be detected; performing data enhancement processing on the image to be detected to obtain an extended image corresponding to the image to be detected, and the number of extended images is more than one ; Liveness detection is performed on each extended image to obtain an intermediate detection result of each extended image; after fusing the intermediate detection results of each extended image, a liveness detection result of the object to be detected in the image to be detected is obtained. The solution provided by this application can avoid the transmission delay caused by the user waiting for multiple images to be uploaded during liveness detection, and also improves the user experience. At the same time, multiple extended images after data enhancement are used as objects for liveness detection, which increases the amount of data and improves the accuracy of detection to a certain extent.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a face detection method, system, device, computer equipment and storage medium. Background technique [0002] With the development of computer technology, in order to identify users more accurately and conveniently, living body detection technology has emerged. Liveness detection technology can use biometric information to verify whether the user is a real living body and operate by himself, and can effectively resist common attacks such as photos, face changes, masks, and occlusions. [0003] At present, when using liveness detection technology to identify users, it is difficult to obtain accurate detection results from one image. In order to improve the accuracy of detection, users usually need to upload multiple images for analysis, but users need to wait for multiple images to be uploaded. Liveness detection can only be performed after success, and the transmissi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06V40/161G06V40/168G06V40/45G06F18/214G06V40/16G06V10/7747G06N3/09G06N5/01G06N20/20G06N20/10G06F21/32G06V10/82G06V10/24G06V10/774G06V40/172
Inventor 罗朝白琨
Owner TENCENT TECH (SHENZHEN) CO LTD
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