Face recognition based on PCA

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (18): 201-203.

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

Face recognition based on PCA

JIAO Binliang，CHEN Shuang

Department of Electronic Engineering，College of Information Engineering，Yanshan University，Qinhuangdao，Hebei 066004，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-06-21 Published:2011-06-21

基于PCA算法的人脸识别

焦斌亮，陈爽

燕山大学信息工程学院电子工程系，河北秦皇岛 066004

Abstract

Abstract: This paper introduces the Hidden Markov Eigenface Model（HMEM） in which the Probabilistic Principal Component Analysis（PPCA） is integrated into Separable Lattice Hidden Markov Models（SL-HMM），and the proposed model has good properties of both PPCA and SL-HMM.The face recognition experiments based on the ORL database show that the proposed model improves the performance signicantly.

Key words: face recognition, eigenface, Probabilistic Principal Component Analysis（PPCA）, Hidden Markov Models（HMM）

摘要： 介绍了隐马尔可夫特征脸模型（HMEM），由概率性主成分分析方法（PPCA）与离散空间马尔可夫模型法（SL-HMM）整合而成，具有PPCA和SL-HMM的双重特性。利用ORL数据库进行人脸识别实验，结果说明该模型在性能上表现出较大的优势。

关键词: 人脸识别, 特征脸, 概率主成分分析, 隐马尔可夫模型

JIAO Binliang，CHEN Shuang. Face recognition based on PCA[J]. Computer Engineering and Applications, 2011, 47(18): 201-203.

焦斌亮，陈爽. 基于PCA算法的人脸识别[J]. 计算机工程与应用, 2011, 47(18): 201-203.

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Face recognition based on PCA

基于PCA算法的人脸识别

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