Human face anti-counterfeiting method and device based on images

A face and target image technology, applied in the field of image processing, can solve the problems of expensive sensors, user loss, and low anti-counterfeiting accuracy.

Pending Publication Date: 2018-02-27
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If there is a wrong recognition, no matter in which of the above fields, it will bring serious losses to the user
Therefore, face payment technology needs to be able to effectively identify fake faces and other forgery methods, but the existing anti-counterfeiting technology has disadvantages such as expensive sensors and low anti-counterfeiting accuracy.

Method used

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  • Human face anti-counterfeiting method and device based on images
  • Human face anti-counterfeiting method and device based on images
  • Human face anti-counterfeiting method and device based on images

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Embodiment Construction

[0060] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0061] refer to figure 1 , which shows a flow chart of the steps of Embodiment 1 of an image-based face anti-counterfeiting method according to the present invention, which may include the following steps:

[0062] Step 101, collecting two face image data;

[0063] Step 102, calculating the difference map of the face image data;

[0064] Step 103, calculating the feature points in the difference map, using a preset threshold to retain the required number of feature points;

[0065] Step 104, based on the preset threshold information, use a trained support vector machine and other classifiers to classify the threshold, and judge whether the current input image data is a real person or other forgery.

[0066] In the embodiment of...

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PUM

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Abstract

The invention discloses a human face anti-counterfeiting method and a device based on pore size information. The method comprises the steps that two human faces images data are successively collected;the human faces images are cut and aligned, and further a human face difference image and a gaussian difference image are calculated; according to presupposed threshold value information, feature points of the gaussian difference image are extracted; inputted images are sorted by a support vector machine, and judgment information is given. Based on image information analysis and human face skin pore characteristics and related algorithms, a real person and a forgery can be effectively distinguished. The method is easy to implement, low in cost, good in stability, and high in accuracy.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image-based face anti-counterfeiting method and an image-based face anti-counterfeiting device. Background technique [0002] Face recognition technology is a technology that uses facial biometrics for identity authentication. Face recognition technology is currently widely used in payment, security, monitoring and other fields. [0003] When face recognition technology is used, whether it is mobile payment, security check, notarization or time attendance, it needs to be able to effectively prevent counterfeiting and avoid misidentification. If there is a wrong identification, no matter in which of the above fields, it will bring serious losses to the user. Therefore, face payment technology needs to be able to effectively identify fake faces and other forgery methods, but the existing anti-counterfeiting technology has disadvantages such as expensive sensors and lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T3/00G06T7/38G06T7/44G06K9/62
CPCG06T3/0006G06T7/38G06T7/44G06T2207/20084G06T2207/20081G06T2210/22G06T2207/30201G06V40/165G06V40/168G06V40/172G06F18/2411G06F18/214
Inventor 李东叶培楚章云
Owner GUANGDONG UNIV OF TECH
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