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基于Gabor小波和支持向量机的人脸识别算法中若干问题研究 被引量：1

Research on Some Problems of Face Recognition Algorithm Based on Gabor Wavelet and Support Vector Machine
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摘要 归纳出了基于Gabor小波和支持向量机(SVM)的人脸识别算法在实际应用中所遇到的三个问题,即主元分析(PCA)降维过程中累积贡献率的选择,多项式核函数阶数的选择以及决策函数的确定。给出了累积贡献率和多项式核函数的阶数选择规则,提出了支持向量机和最大值(MAX)相结合的分类决策方法。最后,利用AT&T人脸库进行仿真比较研究。 This paper induces that there are three problems （the selection of the cumtdative contribution rate in the principle component analysis, the choice of the order of polynomial kernel function, and the determination of the decision function）. Some rules which are used to select the eumtdative contribution rate and the order of polynomial kernel function are given. The decision method of mtdti-elassifieation based on the combination of SVM and maximum is proposed. At last, the simtdation of the comparative study is performed by using the AT＆T face database.
作者 马晓燕 杨国胜 范秋凤 王应军
机构地区 河南大学先进控制与智能信息研究所
出处 《计算机与现代化》 2007年第4期20-23,共4页 Computer and Modernization
基金 河南省自然科学基金资助项目(0523020600) 河南省高校杰出科研人才创新工程项目(2005KYCX012)
关键词 GABOR小波 主元分析 支持向量机 人脸识别 多项式核 Gabor wavelet PCA support vector machine face recognition polynomial kernel
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献8

  • 1Lee T S.Image representation using 2D Gabor wavelet[J].IEEE Trans.on PAMI,1996,18(10):959-971.
  • 2Chengjun Liu.Gabor-based kernel PCA with fraction power polynomial model for face recognition[J].IEEE Trans.Pattern Analysis and Machine Intelligence,2004,26(5):572-581.
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二级参考文献19

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共引文献31

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二级引证文献11

计算机与现代化
2007年 第4期

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