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基于二维不可分小波的人脸识别方法 被引量：2

A face recognition algorithm based on bivariate non-separable wavelet
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摘要 提出了一种基于二维不可分小波的人脸识别算法。通过对实验数据分析,该算法不但可以减少表情因素的影响,而且计算速率和识别率都有所提高。 In this paper,an algorithm of face recognition which based on bivariate non-teparable wavelet is grived.Experimental results demonstrate that the proposed algorithm can reduce the influence of expression and improve computing speed and recognition rate.
作者 郝存明
机构地区 河北省应用数学研究所
出处 《河北工业科技》 CAS 2009年第5期448-451,共4页 Hebei Journal of Industrial Science and Technology
关键词 不可分小波 PCA 类间离散度矩阵 non-separable wavelet PCA between-class scatter matrix
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献6

  • 1LIU Dian-ting,ZHOU Xiao-dan,WANG Cheng-wen.Wavelet-based multispectral face recognition[J].Optoelectronics Letters,2008,4(5):384-386. 被引量：6
  • 2周国民,陈勇,李国军.人脸识别中应用小波变换的两个关键问题[J].浙江大学学报（理学版）,2005,32(1):34-38. 被引量：27
  • 3HE W, LAI M J. Examples of bivariate nonseparable compactly supported orthonormal continuous wavelets[J]. IEEE Trans Image Processing, 2000(9) :949-953.
  • 4SILONG P,QIUHUI S,YUESHENG X. Design of filter banks associated with multivariate wavelet by matrix approach manuscript [J]. Rev Mat Iberoamericana,2001,21(2):86-98.
  • 5AYACHE A. Construction of nonseparable dyadic compactly supported orthonormal wavelet bases for of arbitrarily high regularity [J]. Rev Mat Iberoameficana, 1999,15 (1) : 37-58.
  • 6RICHARD O,PETER D,DAVID C G.模式分类[M].李宏东,姚天翔译[M].北京:机械工业出版社,2006.

二级参考文献17

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共引文献31

同被引文献21

引证文献2

河北工业科技
2009年 第5期

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