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Living body face recognition method and device and equipment

A face recognition and living body technology, applied in the field of face recognition, can solve the problems of reducing the accuracy of face liveness detection, and achieve the effects of strong real-time performance, improved accuracy, and simple operation

Active Publication Date: 2014-11-12
TENCENT CLOUD COMPUTING BEIJING CO LTD
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Problems solved by technology

[0005] The method of analyzing the low-frequency components of face images is easily affected by the ambient light and the resolution of the acquisition device. Under darker light, the low-frequency components of real faces increase, which may be judged as fake faces, which reduces the accuracy of face detection. the accuracy of

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  • Living body face recognition method and device and equipment
  • Living body face recognition method and device and equipment
  • Living body face recognition method and device and equipment

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Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] figure 1 It is a flow chart of a living face recognition method provided by an embodiment of the present invention, see figure 1 , the method includes:

[0035] 101: Acquire an original image, where the original image includes at least a human face;

[0036] Specifically, when a face recognition instruction is received, the camera device configured on the terminal device is turned on to acquire an original image, the original image at lea...

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Abstract

A method for real face image recognition may include obtaining, by at least one processor, an human face image from an original image; obtaining, by at least one processor, a first image by executing a Point Divid Arithmetic Mean Illumination Treatment on the human face image; executing, by at least one processor, a Fourier transformation on the first image and obtaining, by at least one processor, the transformed value of each pixel of the first image; determining, by at least one processor, whether the human face image is a real human face according to the transformed value of each pixel of the first image and the preset classification threshold.

Description

technical field [0001] The present invention relates to the field of face recognition, in particular to a living face recognition method, device and equipment. Background technique [0002] With the development of face recognition technology, identity verification can be performed through face recognition in the security login system to improve system security. However, when performing identity verification, many substitutes will cheat identity verification by forging faces. The methods of forging faces include using face photos, face video clips, or forging 3D face models. In order to improve security, it is necessary to perform liveness detection on the face, that is, to detect whether the face is a live face. [0003] When performing liveness detection on human faces, since the forged face image has been collected twice, it has more low-frequency components than the live face image, so the obtained face image can be processed by Fourier transform, and then Obtain the lo...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F21/32G06F2221/2133G06V40/161G06V40/40G06V10/54G06V40/45G06V40/171G06V40/172
Inventor 熊鹏飞
Owner TENCENT CLOUD COMPUTING BEIJING CO LTD
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