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Face gender identification method based on fuzzy support vector machine

A fuzzy support vector and gender recognition technology, applied in the field of face recognition technology, can solve problems such as lack of solutions, achieve high generalization ability, good robustness, and improve accuracy

Inactive Publication Date: 2009-04-29
NORTH CHINA UNIVERSITY OF TECHNOLOGY +1
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AI Technical Summary

Problems solved by technology

Since in many applications, some input samples cannot be defined as exactly belonging to a certain class, or are only interested in a class of samples, but have no requirements for other samples, so the ordinary support vector machine SVM lacks the ability to solve these problems. good solution

Method used

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  • Face gender identification method based on fuzzy support vector machine
  • Face gender identification method based on fuzzy support vector machine
  • Face gender identification method based on fuzzy support vector machine

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Embodiment Construction

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] figure 1 Shown is the flow chart of gender identification processing in the present invention, and the method of the present invention includes the following steps:

[0030] Step 1: Preprocessing the images in the face training database and the images collected from face images respectively;

[0031] Face image acquisition mainly includes face image intake, eye positioning, face image segmentation and normalization processing. The human eye positioning is completed by the following steps:

[0032] First, the position range of the eyes is preliminarily obtained, and then the Gaussian filtering method is used to remove the noise caused by the hair around the eyes. Then do binary processing, and then do horizontal and vertical integral projection to accurately determine the position of the eyes, such as figure 2 shown.

[003...

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Abstract

The invention discloses a face gender recognition method based on a fuzzy support vector machine, belonging to intelligent monitoring technology in computer vision, in particular to face recognition technology. In the method, preprocessing is respectively carried out on images in a face training base and images in a face image collecting base in advance; the face characteristic extraction and the characteristic selection are carried out on the obtained two groups of preprocessed images; neural network training is then carried out to generate the fuzzy membership grade; the classifier design of the fuzzy support vector machine is carried out on the obtained fuzzy membership grade; finally, the face gender recognition is carried out and the result is output to be shown. With strong environment adaptability, the method can maintain strong robustness under different light intensities, attitudes and facial expressions. The method can also be applied to various monitoring systems and information collecting systems.

Description

technical field [0001] The invention relates to a face gender recognition method based on a fuzzy support vector machine, which belongs to the intelligent monitoring technology in computer vision, in particular to the face recognition technology. Background technique [0002] Face is one of the most important biological characteristics of human beings, reflecting a lot of important biological information, such as identity, gender, age, race, expression and so on. With the rapid development of computer technology, computer vision and pattern recognition based on face images have become a hot research topic in recent years. These include various recognition problems such as face region detection, face recognition, and facial expression recognition. Since people can obtain a lot of important information from face images, the generalized face recognition problem should include the recognition of all these information, such as identity recognition, gender recognition, race recog...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 王一丁王蕴红冷学明
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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