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一种基于人脸核心特征的PCA人脸识别算法及应用

李冠楠 李强

电子器件2012,Vol.35Issue(5):607-610,4.
电子器件2012,Vol.35Issue(5):607-610,4.DOI:10.3969/j.issn.1005-9490.2012.05.026

一种基于人脸核心特征的PCA人脸识别算法及应用

Implementation and Application of One PCA Face Recognition Algorithm Based on the Core Features of the Face

李冠楠 1李强1

作者信息

  • 1. 顺德职业技术学院电子与信息工程系,广东顺德528300
  • 折叠

摘要

Abstract

The traditional PCA ( Principle Component Analysis) face recognition algorithm recognizes faces by face images directly, its recognition rate is low because of the size, angle, light and other factors of the face.The face recognition algorithm based on the core features of the face recognizes faces by the core features of the face, including the left eye,right eye,nose,mouth.This algorithm can effectively overcome the unfavorable factors,such as the size, angle, light on the face and others, significantly improve face recognition rate, and successful implement the intelligent photo search system.

关键词

人脸识别/核心特征/PCA

Key words

face recognition/ core features/ PCA (Principle Component Analysis)

分类

信息技术与安全科学

引用本文复制引用

李冠楠,李强..一种基于人脸核心特征的PCA人脸识别算法及应用[J].电子器件,2012,35(5):607-610,4.

电子器件

OA北大核心CSTPCD

1005-9490

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