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Face recognition method

A face recognition and face image technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of low face image recognition rate, achieve high recognition rate, easy recognition, and improve visual effects Effect

Inactive Publication Date: 2014-08-27
GUANGXI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] The purpose of the present invention is to provide a face recognition method, compared with the prior art, the present invention can solve the problem of low computer recognition rate of face images

Method used

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Embodiment Construction

[0033] Combine below figure 1 The present invention is described in further detail:

[0034] A face recognition method, comprising the following steps:

[0035] (1) Taking multiple face images and inputting the face images into the computer;

[0036] (2) Use the Retinex algorithm to calculate the degree of influence of the illumination on the face image described in step (1), and adjust the light and shade values ​​of the face image according to the degree to which the face image is affected by the illumination, the steps are as follows:

[0037] ① Use the following formula to analyze the degree of influence of illumination on the face image:

[0038]

[0039] in, S is the midpoint of the left border of the image, D is the midpoint of the right border of the image, S point to D The connection between the points has n pixels, the n The gray value of a pixel is used d n express, express S point to D The change value of the gray level of the point, when hour, ...

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Abstract

The invention discloses a face recognition method. According to the method, a shot face image is input to a computer. First, the degree to which the face image is influenced by illumination is calculated by use of a Retinex algorithm, and the lightness value of the face image is adjusted according to the degree of influence; second, face feature attributes are extracted by use of an active appearance model; third, the face feature attributes are reduced by adopting a self-organizing neural network and a rough set reduction algorithm, and a support vector machine classifier is trained with the use of the reduced attribute data; and finally, the to-be-recognized face image is analyzed by use of the trained support vector machine classifier. The method eliminates subjective interference, and is high in rate of face image recognition.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to a method for computer recognition of human face images. Background technique [0002] Face recognition is a popular research topic in computer pattern recognition and biometric authentication technology, which is widely used in entertainment, information security, law enforcement and surveillance. Generally speaking, face recognition mainly refers to computer technology for identifying human identity through human facial visual information in digital images or video images. Compared with fingerprint recognition and palmprint recognition, face recognition has the characteristics of convenience, speed and acceptance. In recent years, people's research on face recognition methods is in the development stage, and new technologies and methods are constantly appearing, but there is still a problem of low recognition rate of face images. Contents of the invention [00...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 欧阳浩郑庆华
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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