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Volume 31 Issue 12
Dec.  2010
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Cheng Zheng-dong, Fan Xiang, Zhang Yu-jin. 2-Dimensional Kernel Discriminant Analysis Based on Image Sampling and Regrouping[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2958-2962. doi: 10.3724/SP.J.1146.2008.01656
Citation: Cheng Zheng-dong, Fan Xiang, Zhang Yu-jin. 2-Dimensional Kernel Discriminant Analysis Based on Image Sampling and Regrouping[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2958-2962. doi: 10.3724/SP.J.1146.2008.01656

2-Dimensional Kernel Discriminant Analysis Based on Image Sampling and Regrouping

doi: 10.3724/SP.J.1146.2008.01656
  • Received Date: 2008-12-08
  • Rev Recd Date: 2009-09-25
  • Publish Date: 2009-12-19
  • 2-Dimensional Kernel Discriminant Analysis (2DKDA) can not be performed since its scatter metric matrices are too large. This paper combines the sampling and regrouping images with 2DKDA and gives three kinds of Sampling and Regrouping 2-Dimensional Kernel Discriminant Analysis (SR2DKDA). These algorithms not only overcome the drawback of 2DKDA but also have superior recognition accuracy to 2-Dimensional Linear Discriminant Analysis (2DLDA). The experiments on ORL database and UMIST database verify the efficiency of the SR2DKDA.
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  • Fisher R A. The use of multiple measurements in taxonomicproblems. Annual Eugenics, 1936, 7: 179-188.[2]Yang J, Zhang D, Frangi A F, and Yang J. Two-dimensionalPCA A new approach to appearance-based facerepresentation and recognition[J].IEEE Transactions onPattern Analysis and Machine Intelligence.2004, 26(1):131-137[3]Kongsontana S and Rangsanseri Y. Face recognition using2DLDA algorithm[J].Proceedings of the Eighth InternationalSymposium on Signal Processing and Its Applications, Perth,Australia.2005, 2:675-678[4]Zhao Li-hong, Zhang Xi-li, and Xu Xin-he. Face recognitionbase on KPCA with polynomial kernels. InternationalConference on Wavelet Analysis and Pattern Recognition,Beijin, China, 2007, 3: 1213-1216.[5]Mika S, Ratsch G, Weston J, Scholkopf B, and Muller K R.Fisher discriminant analysis with kernels. Proc. IEEE Int lWorkshop Neural Networks for Signal Processing IX,Madison, WI, USA, 1999: 41-48.[6]刘永俊, 宋东兴, 何世明, 陈才扣. 二维非线性鉴别分析及人脸识别. 常熟理工学院学报(自然科学), 2008, 22(2): 99-103.[7]程正东, 章毓晋, 樊祥. 基于图像抽样重组的二维线性鉴别分析. 中国图象图形学报. (待发表).[8]Yang Jian and Yang Jing-yu. Why can LDA be performed inPCA transformed space[J].Pattern Recognition.2003, 36:563-566
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