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Feature classification based multiple classifiers combined people face recognition method

A face recognition and multi-classifier technology, applied in the field of face recognition, can solve the problems of classification information loss, system recognition performance degradation, etc., to improve recognition performance, avoid dimension disaster problems, and reduce computational complexity.

Active Publication Date: 2007-02-07
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the disadvantages of the prior art that high-dimensional feature dimensions need to be reduced in dimensionality, which may easily lead to loss of classification information and decline in system recognition performance, and provide a face recognition method based on feature grouping with multi-classifier combinations.

Method used

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  • Feature classification based multiple classifiers combined people face recognition method
  • Feature classification based multiple classifiers combined people face recognition method
  • Feature classification based multiple classifiers combined people face recognition method

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Embodiment Construction

[0027] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] Such as figure 1 Shown, the multi-classifier combined face recognition method based on feature grouping of the present invention comprises:

[0029] Step 10, extracting the face area, and performing preprocessing on the face area. Generally, the original image with a human face cannot be used directly. The proportion of the human face area in the original image is small, and the original image will be affected by noise, pose, lighting, etc. In order to improve the effect of face recognition, the face area must be extracted from the original image before recognition. When extracting the face area, according to the binocular position given by the face detection and feature location algorithm, the face to be recognized is cut out from the input image, and the size and range of the cut face are determined by the specific fa...

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Abstract

The disclosed multi-classifier combination face recognition method based on feature sorting comprises: extracting face area from initial image for pre-process and feature extraction; feature sorting to obtain different face feature groups; designing component classifier for every group to recognize face and combine results for optimal effect. This invention overcomes dimension disaster, reduces algorithm complexity, and improves recognition performance.

Description

technical field [0001] The present invention relates to face recognition technology, in particular to feature grouping and multi-component classifier combination face recognition technology. Background technique [0002] The purpose of face recognition technology is to give computers the ability to identify people based on their faces. As a scientific problem, face recognition is a typical image pattern analysis, understanding and classification calculation problem, which involves pattern recognition, computer vision, intelligent human-computer interaction, graphics, cognitive science and other disciplines. As one of the key technologies of biometric identification, face recognition technology has potential application prospects in public security, information security, finance and other fields. [0003] In face recognition technology, efficient face description features and corresponding high-precision core recognition algorithms are the key to the problem. The input of t...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 山世光苏煜曹波陈熙霖高文
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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