Face recognition based on PCA+AdaBoost algorithm

doi:10.3778/j.issn.1002-8331.2010.04.054

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (4): 170-173.DOI: 10.3778/j.issn.1002-8331.2010.04.054

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

Face recognition based on PCA+AdaBoost algorithm

LI Sheng-wen，BAO Su-su

College of Computer Science and Technology，South China Normal University，Guangzhou 510631，China

Received:2008-08-12 Revised:2008-11-03 Online:2010-02-01 Published:2010-02-01
Contact: LI Sheng-wen

基于PCA+AdaBoost算法的人脸识别技术

李盛文，鲍苏苏

华南师范大学计算机学院，广州 510631

通讯作者: 李盛文

Abstract

Abstract: Face recognition technology is an important image processing technology，but low recognition rate has hampered its wider use.Principal Component Analysis（PCA） is an important algorithm in face recognition technology.PCA is combined with AdaBoost algorithm to improve the recognition rate.Experiments show that the recognition rate of PCA plus AdaBoost algorithm is significantly higher than that of PCA or Fisherface algorithms.

Key words: face recognition, eigenface, Principal Component Analysis（PCA）, AdaBoost

摘要： 人脸识别技术是图像处理方面的重要技术，然而识别率不高却一直妨碍人脸识别技术的广泛应用。主成分分析（PCA）是人脸识别技术的一个重要算法，将PCA与AdaBoost算法相结合改进了原来的算法，并称新算法为PCA+AdaBoost算法。实验证明PCA+AdaBoost算法的识别率明显高于PCA算法，相对于Fisherface算法的识别率也有明显的提高。

关键词: 人脸识别, 特征脸, 主成分分析, AdaBoost

CLC Number:

TP391.41

LI Sheng-wen，BAO Su-su. Face recognition based on PCA+AdaBoost algorithm[J]. Computer Engineering and Applications, 2010, 46(4): 170-173.

李盛文，鲍苏苏. 基于PCA+AdaBoost算法的人脸识别技术[J]. 计算机工程与应用, 2010, 46(4): 170-173.

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Face recognition based on PCA+AdaBoost algorithm

基于PCA+AdaBoost算法的人脸识别技术

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