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基于高维仿生覆盖的人脸识别方法

刘军立 孙劲光

计算机工程与应用2011,Vol.47Issue(17):178-180,184,4.
计算机工程与应用2011,Vol.47Issue(17):178-180,184,4.DOI:10.3778/j.issn.1002-8331.2011.17.049

基于高维仿生覆盖的人脸识别方法

Face recognition on high-dimensional bionic coverage

刘军立 1孙劲光1

作者信息

  • 1. 辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛125105
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摘要

Abstract

Applying the method of bionic pattern,a “matter cognition” based face recognition model is proposed.For the cohesion of a person's face in certain high-dimensional space, a new method based on the minimum spanning tree of the nearest cover is proposed.Firstly, some human face images are decomposed using wavelet transform, and the decomposition of the four sub-band components is weighted and then fused;secondly,an eigenface-space is extracted using K-L transform;finally,the face is recognized with the method of cover proposed in this paper.The experimental results based on ORL face database show that, compared with traditional pattern recognition, the new algorithm not only solves the misrecognition of none training samples,but also greatly enhances the highly accurate recognition rate.

关键词

仿生模式识别/最小生成树/二维离散小波变换/人脸识别

Key words

biomimetic pattern recognition/minimum spanning tree/Two Dimensional Discrete Wavelet Transform(2D-DWT)/face recognition

分类

信息技术与安全科学

引用本文复制引用

刘军立,孙劲光..基于高维仿生覆盖的人脸识别方法[J].计算机工程与应用,2011,47(17):178-180,184,4.

计算机工程与应用

OACSCDCSTPCD

1002-8331

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