Face recognition method for identifying counterfeit photo deception

A technology of face recognition and photos, which is applied in the field of face recognition for identifying fraudulent photos, can solve the problems of face recognition system lack of liveness detection function, deceptive face recognition method, and high cost of liveness detection, etc., so as to improve the detection speed and recognition speed, enhanced real-time performance, and strong real-time effects

Inactive Publication Date: 2017-05-10
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology combines two features: spectral distributions, reflectance from surfaces like skin or teeth, and disambiguation that makes it difficult for attackers to deceive into identifying faces accurately. It achieves these benefits through powerful processing capabilities while maintaining good visual appearance during video capture.

Problems solved by technology

The technical problem addressed in this patented text relates to improving the safety level of facial recognition systems without requiring costly or complicated equipment. Current methods are either too complex or lacking privacy protection against photo attacks.

Method used

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  • Face recognition method for identifying counterfeit photo deception
  • Face recognition method for identifying counterfeit photo deception
  • Face recognition method for identifying counterfeit photo deception

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Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0030] The technical scheme that the present invention solves the above-mentioned technical problem is,

[0031] attached figure 1 It is a system structure block diagram of the present invention. It follows the following steps:

[0032] Step 1. Get the input image from the camera.

[0033] Step 2. Detect the face in the acquired image, if no face is detected, re-acquire the image

[0034] Step 3, normalize the face in the acquired image

[0035] Step 4, according to figure 2 The process shown in the process extracts the color distribution feature, reflectivity and blur feature of the normalized image to detect whether the acquired face image comes from a living body, and returns to step 1 if it is n...

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Abstract

The invention discloses a face recognition method for identifying counterfeit photo deception, and belongs to the field of digital image processing and pattern recognition. The recognition method identifies the face counterfeit photo deception by analyzing an imaging difference between real and fake face images, and adopting image color distribution, reflectance ratio and ambiguity features. The method comprises the following steps: firstly, converting a color image to an HSV color space and then extracting color distribution characteristics; secondly, converting the color image to a YUV color space image, and then extracting mirror reflection characteristics; thirdly, using a gray-level co-occurrence matrix to extract ambiguity characteristics; and finally, combining the color distribution characteristics, the mirror reflection characteristics and the ambiguity characteristics as discrimination information of true and false face images, and using a support vector machine algorithm to classify and obtain the judgment of the true and false face images. The face recognition method for identifying the counterfeit photo deception provided by the invention can used as an independent module and integrated into the existing face recognition algorithm, so as to improve the security and reliability of a face recognition system.

Description

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Claims

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Application Information

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Owner CHONGQING UNIV OF POSTS & TELECOMM
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