Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071007(2019)

Palmprint Recognition Based on Subspace and Texture Feature Fusion

Xinchun Li1, Hongyan Ma2、*, and Sen Lin1
Author Affiliations
  • 1 School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
  • 2 Postgraduate College, Liaoning Technical University, Huludao, Liaoning 125105, China
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    References(19)

    [2] Yue F, Zuo W M, Zhang D P. Survey of palmprint recognition algorithms[J]. Acta Automatica Sinica, 36, 353-365(2010).

    [3] Zhang D, Kong W K, You J et al. Online palmprint identification[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 1041-1050(2003).

    [9] Ali M M H, Yannawar P L, Gaikwad A T. Multi-algorithm of palmprint recognition system based on fusion of local binary pattern and two-dimensional locality preserving projection[J]. Procedia Computer Science, 115, 482-492(2017).

    [11] Zhang S W, Wang H X, Huang W Z et al. Combining modified LBP and weighted SRC for palmprint recognition[J]. Signal, Image and Video Processing, 12, 1035-1042(2018).

    [13] Fei L K, Xu Y, Teng S H et al[M]. Local orientation binary pattern with use for palmprint recognition, 213-220(2017).

    [15] Zou H, Hastie T, Tibshirani R. Sparse principal component analysis[J]. Journal of Computational and Graphical Statistics, 15, 265-286(2006).

    [17] Candès E J, Li X, Ma Y et al. Robust principal component analysis?[J]. Journal of the ACM, 58, 1-37(2011).

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    Xinchun Li, Hongyan Ma, Sen Lin. Palmprint Recognition Based on Subspace and Texture Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071007

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    Paper Information

    Category: Image Processing

    Received: Sep. 19, 2018

    Accepted: Oct. 30, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Hongyan Ma (1809282140@qq.com)

    DOI:10.3788/LOP56.071007

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