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基于多线性独立成分分析的掌纹识别 被引量：5

Palmprint Recognition Based on Multilinear Independent Component Analysis
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摘要 为快速有效地在掌纹识别中学习多种因素的高阶统计独立成分,利用多线性独立成分分析方法对掌纹张量进行降维,得到低维的模式矩阵,将掌纹图像向模式矩阵上投影以提取核心张量,通过计算核心张量间的余弦距离实现掌纹匹配。基于PolyU掌纹图像库的实验结果表明,与主成分分析(PCA)、二维PCA、独立成分分析和多线性PCA相比,该方法的识别率最高,且满足系统实时性要求。 In palmprint recognition, in order to learn the higher order dependencies associated with the different factors quickly and effectively, this paper uses Multilinear Independent Component Analysis（MICA） to the original tensor objects to obtain the low-dimension mode matrix. The palmprint images are projected onto the mode matrix for extracting the core tensors. Palmprint matching is implemented by calculating the cosine distance between two core tensors. Experiment based on PolyU plmprint database shows that compared with Principal Component. Analysis（PCA）, 2DPCA, Independent Component Analysis（ICA） and Multilinear Principal Component Analysis（MPCA）, recognition rate of the new algorithm is the highest, and it meets real-time requirements of the system.
作者 郭金玉 谷丽华 李元 曾静
机构地区 沈阳化工大学信息工程学院
出处 《计算机工程》 CAS CSCD 北大核心 2011年第12期13-15,18,共4页 Computer Engineering
基金 国家自然科学基金资助项目(60774070) 辽宁省科研基金资助项目(L2010436 20091061)
关键词 掌纹识别 主成分分析 二维主成分分析 多线性主成分分析 独立成分分析 多线性独立成分分析 palmprint recognition Principal Component Analysis（PCA） 2D Principal Component Analysis（2DPCA） Multilinear PrincipalComponent Analysis（MPCA） Independent Component Analysis（ICA） Multilinear Independent Component Analysis（MICA）
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献13

  • 1Lu Guangming, Zhang David, Wang Kuanquan. Palmprint Recognition Using Eigenpalms Features[J]. Pattern Recognition Letters, 2003, 24(9/10): 1463-1467.
  • 2李强,裘正定,孙冬梅,刘陆陆.基于改进二维主成分分析的在线掌纹识别[J].电子学报,2005,33(10):1886-1889. 被引量：36
  • 3陶俊伟,姜威.改进的基于二维主分量分析的掌纹识别[J].光学技术,2007,33(2):283-286. 被引量：12
  • 4Conn1e T, Teoh A, Jin Beng, et al. An Automated Palmprint Recognition System[J]. Image and Vision Computing, 2005, 23(5): 501-515.
  • 5Shang Li, Huang Deshuang, Du Jixiang, et al. Palmprint Recognition Using Fast ICA Algorithm and Radial Basis Probabilistic Neural Network[J]. Neurocomputing, 2006, 69(13-15): 1782-1786.
  • 6郭金玉,苑玮琦.基于独立成分分析的掌纹识别[J].光电工程,2008,35(3):136-139. 被引量：18
  • 7Wu Xiangqian, Zhang David, Wang Kuanquan. Fisherpalms-based Palmprint Recognition[J]. Pattern Recognition Letters, 2003, 24(15): 2829-2838.
  • 8Lu Haiping, Plataniotis K N, Venetsanopoulos A N. MPCA: Multilinear Principal Component Analysis of Tensor Objects[J]. IEEE Transactions on Neural Networks, 2008, 19(1): 18-39.
  • 9Wang Jin, Chen Yu, Adjouadi M. A Comparative Study of Multilinear Principal Component Analysis for Face Recognition[C] //Proc. of the 37th IEEE Applied Imagery Pattern Recognition Workshop. Washington D. C., USA: IEEE Press, 2008.
  • 10Alex M, Vasilescu O, Terzopoulos D. Multilinear Independent Components Analysis[C] //Proc. of IEEE Conference on Computer Vision and Pattern Recognition. San Diego, USA: IEEE Computer Society, 2005.

二级参考文献29

  • 1吴介,裘正定.掌纹识别中的特征提取算法综述[J].北京电子科技学院学报,2005,13(2):86-92. 被引量：20
  • 2李强,裘正定,孙冬梅,刘陆陆.基于改进二维主成分分析的在线掌纹识别[J].电子学报,2005,33(10):1886-1889. 被引量：36
  • 3李云峰,欧宗瑛.基于Gabor小波变换和支持向量机的人脸识别[J].计算机工程,2006,32(19):181-182. 被引量：5
  • 4Hyvarinen A, Oja E. Independent Component Analysis: Algorithms and Application[J]. Neural Networks, 2003, 13(4/5): 411-430.
  • 5Tsang I W, Kwok J T, Zurada J M. Generalized Core Vector Machines[J]. IEEE Transactions on Neural Networks, 2006, 17(5): 1126-1140.
  • 6Samaria F, Harter A. Parameterisation of a Stochastic Model for Human Face Identification[C]//Proc. of the 2nd IEEE Workshop on Applications of Computer Vision. Sarasota, FL, USA: [s. n.], 1994.
  • 7Tsang 1 W, Kocsor A, Kwok J T. Simpler Core Vector Machines with Enclosing Balls[C]//Proc. of the 24th International Conference on Machine Learning. Corvallis, Oregon, USA: [s. n.], 2007.
  • 8D Zhang,W Kong,J You.Online Palmprint Identification[J].IEEE Trans PAMI,2003,25(9):1041-1050.
  • 9G Lu,D Zhang,K Wang.Palmprint recognition using eigenpalms features[J].Patter Recognition Letters,2003,24(9):1463-1467.
  • 10D Zhang,W Shu.Two novel characteristics in palmprint verification:datum point and line feature matching[J].Pattern Recognition,1999,32(4):691-702.

共引文献72

同被引文献68

  • 1Xiang-QianWu,Kuan-QuanWang,DavidZhang.Wavelet Energy Feature Extraction and Matching for Palmprint Recognition[J].Journal of Computer Science & Technology,2005,20(3):411-418. 被引量：19
  • 2李强,裘正定,孙冬梅,刘陆陆.基于改进二维主成分分析的在线掌纹识别[J].电子学报,2005,33(10):1886-1889. 被引量：36
  • 3谭磊,张桦,薛彦斌.一种基于特征点的图像匹配算法[J].天津理工大学学报,2006,22(6):66-69. 被引量：11
  • 4陶俊伟,姜威.改进的基于二维主分量分析的掌纹识别[J].光学技术,2007,33(2):283-286. 被引量：12
  • 5Lu Guangming, Zhang David, Wang Kuanquan. Palmprint Recognition Using Eigenpalms Features [ J ]. Pattern Recogni- tion Letters, 2003, 24(10) : 1 463 -1 467.
  • 6Connle T, Teoh A, Jin Beng, et al. An Automated Palmprint Recognition System[J]. Image and Vision Computing, 2005, 23(5) : 501 -515.
  • 7Shang Li, Huang Deshuang, Du Jixiang, et al. Palmprint Recognition Using Fast ICA Algorithm and Radial Basis Proba- bilistic Neural Network[J]. Neuroeomputing, 2006,69(13) : 1 782 -1 786.
  • 8Wu Xiangqian, Zhang David, Wang Kuanquan. Fisherpalms -based Palmprint Recognition[J]. Pattern Recognition Let- ters, 2003, 24(15) 2 829 -2 838.
  • 9Bay H , Tuytelaars T, Van G L. SURF:Speeded up Robust Features[J]. Computer vision and image understanding, 2008,110(3 ) :346 - 359.
  • 10Viola P, Jones M. Rapid Object Detection Using a Boosted Cascade Of Simple Features [ J ]. Conferenceon computer vi- sion and pattern recognition, 2001,1 (3) :1 -9.

引证文献5

二级引证文献9

计算机工程
2011年 第12期

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