基于MEB优化的PCA和SVM人脸识别

2010 Third International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2010-11-01 DOI:10.1109/ICINIS.2010.40

G. Wei, Zhao Hai, Mei Zhan, Lizhong Zhang

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引用次数: 1

摘要

人脸识别在分类问题上得到了广泛的研究。提出了一种基于主成分分析和支持向量机的人脸识别新框架。为了减少框架中支持向量机算法的计算量，在框架中引入了MEB。实验结果表明，该算法比基本PCA和PCA- svm算法具有更好的效果。

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Face Recognition Based on PCA and SVM Optimized by MEB

Face recognition has been widely researched in the classification issues. This paper proposed a new framework of face recognition based on PCA and SVM. In order to reduce the computation of SVM algorithm in the framework, MEB was introduced into the framework. Experimental results have shown that the proposed algorithm can get better results than basic PCA and PCA-SVM algorith.

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来源期刊

2010 Third International Conference on Intelligent Networks and Intelligent Systems

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