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Face anti-counterfeiting method and device

A face and face image technology, applied in the field of face anti-counterfeiting methods and devices, can solve problems such as complex 3-dimensional logic algorithms, and achieve the effects of simple algorithm, easy implementation and cost reduction

Active Publication Date: 2019-08-30
厦门熵基科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the primary problem facing 3D face recognition at present is the source of data. Due to technical limitations, there is currently no device like a camera that can capture stereo images conveniently and quickly, and the logic algorithm for 3D construction is too complicated.

Method used

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  • Face anti-counterfeiting method and device
  • Face anti-counterfeiting method and device

Examples

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Effect test

example 1

[0138] Obtain the target calculation result according to the preset formula Z1 / Z2 and L1, R1, L2, R2, wherein, Z1=L1 / R1, Z2=L2 / R2;

[0139] Then, judging whether the target calculation result is the first preset threshold;

[0140] If the target calculation result is the first preset threshold, whether the first face image and the second face image are obtained by ingesting the face of a living body, otherwise the first face image and the second face image are not obtained by ingesting a living body obtained from a human face.

example 2

[0142] Obtain the target calculation result according to the preset formula (Z1-Z2) / (Z1+Z2) and L1, R1, L2, R2, Z1=L1 / R1, Z2=L2 / R2;

[0143] Then, judging whether the target calculation result is less than a second preset threshold;

[0144] If the target calculation result is less than the second preset threshold, whether the first face image and the second face image are obtained by ingesting a live face, or whether the first face image and the second face image are obtained by ingesting obtained from living human faces.

[0145] Wherein, the setting of the preset threshold may be set by user input, or may be obtained through training of the device. In the way of obtaining the preset threshold through the training of the device, the face anti-counterfeiting method of the embodiment of the present invention also includes:

[0146] C1: Obtain a flat face image and an image of a live face;

[0147] C2: Use the distance calculation rules to train the plane face image and the ...

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Abstract

The embodiment of the invention discloses a face anti-counterfeiting method and device, which are used to simplify the face anti-counterfeiting method. The method in the embodiment of the present invention includes: acquiring a first human face image through a first camera and acquiring a second human face image through a second camera, wherein the first human face image and the second human face image are images belonging to the same human face; Find the first distance value of the first face image according to the preset distance rule; find the second distance value of the second face image according to the preset distance rule; judge the first face according to the first distance value and the second distance value Whether the image and the second face image are obtained by ingesting a living human face; the preset distance rule is to extract the key points of the face image, and obtain the distance value according to the distance between the key points, and the key points are used to represent the facial features. Whether it is a living human face can be judged by analyzing different face images. Compared with methods such as 3D modeling, this method has a simple algorithm, is easy to implement, and reduces costs.

Description

technical field [0001] The invention relates to the field of image data processing, in particular to a face anti-counterfeiting method and device. Background technique [0002] With the development of biometric identification technology, face recognition technology has been widely used in the field of identity verification. Through face recognition, the current user can be authenticated to improve security. The current mainstream face recognition algorithm is mainly to recognize two-dimensional plane images. The method is to extract and recognize facial features through specific algorithms based on the silhouette of a two-dimensional plane face or a photo from a certain perspective. In actual application, criminals may use other people's face photos for identity verification. [0003] The definition and extraction of facial feature points is the premise and basis for realizing the face recognition function. Using these facial feature points, a 3D modeling is proposed, and t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/168G06V40/45
Inventor 陈书楷王辉能
Owner 厦门熵基科技有限公司
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