期刊文献+

小波与多小波变换在支持向量机人脸识别中的研究 被引量:4

SVM Face Recognition Compare between Various Wavelet and Multi-Wavelet Transform
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摘要 以ORL人脸库为基础,采用不同的小波和多小波,对人脸图像进行不同层次的小波和多小波分解,提取低频分量作为特征向量,利用支持向量机(SVM)进行人脸识别,通过实验具体给出了在采用不同的小波和多小波对人脸图像进行不同层数的小波分解时,支持向量机的识别率,该文对实际应用具有良好的指导价值和参考价值. In this paper, the face images are decomposed by different wavelet and multi-wavelet at different level, and the low frequency components are translated into vectors, which will be input into the SVM. Experiment results base on ORL face database are shown in this paper, which will be useful in guiding realistic application.
作者 郑成勇
出处 《江西师范大学学报(自然科学版)》 CAS 北大核心 2008年第1期77-80,共4页 Journal of Jiangxi Normal University(Natural Science Edition)
基金 国家自然科学基金(10271105)资助项目
关键词 人脸识别 小波变换 多小波 支持向量机 face recognition wavelet Transform multi-wavelet SVM
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共引文献50

同被引文献47

  • 1刘艳丽,赵跃龙.人脸识别技术研究进展[J].计算机工程,2005,31(3):10-11. 被引量:19
  • 2罗四维,赵连伟.基于谱图理论的流形学习算法[J].计算机研究与发展,2006,43(7):1173-1179. 被引量:76
  • 3张向东,李波.基于Gabor小波变换和PCA的人脸识别方法[J].电子科技,2007,20(4):72-74. 被引量:9
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