Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (19): 160-163.DOI: 10.3778/j.issn.1002-8331.2010.19.047

• 图形、图像、模式识别 • Previous Articles     Next Articles

Biomimetic pattern face recognition integration of PCA and LDA transform

JIANG Jia-fu,YUAN Cheng-wei   

  1. Institute of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410004,China
  • Received:2008-12-17 Revised:2009-02-25 Online:2010-07-01 Published:2010-07-01
  • Contact: JIANG Jia-fu

融合PCA与LDA变换的仿生人脸识别研究

蒋加伏,袁承伟   

  1. 长沙理工大学计算机与通信工程学院,长沙410004
  • 通讯作者: 蒋加伏

Abstract: A new method of biomimetic pattern face recognition theory based on PCA and LDA transform is proposed.This
method has solved the low recognition rate and the excessively high dimension problem,the features of human face on the
training samples are extracted through PCA and LDA,and are used to construct the cover region of each kind of sample.
The person face is distinguished through the judgment that the person face characteristic belongs to which kind of cover region
or doesn’t not belong to any region.The experiment has received the anticipated effect,and has proven this method feasibility.

摘要: 就基于PCA与LDA变换的传统人脸识别方法识别率低但特征提取过程中维数低和基于K-L 变换的仿生人脸识别方法识别率高但在特征提取过程中维数过高的的问题,将两者的优点相结合,提出了一种基于PCA与LDA变换的仿生人脸识别新方法。通过PCA与LDA变换对训练人脸样本进行特征提取,然后构建各类样本的覆盖区域。再通过判断待识别人脸特征在各覆盖区域的归属情况来识别人脸。实验收到了预期的效果,证明了方法的可行性。

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