Laser & Optoelectronics Progress, Volume. 54, Issue 5, 51002(2017)

Palm Vein Recognition Based on Gabor Wavelet and NBP Algorithm

Lin Sen1、*, Xu Tianyang2, and Wang Ying1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(18)

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    [2] [2] Peng Yanfei, Zhou Nan, Lin Sen. Improved SLTP feature extraction algorithm for palmprint recognition[J]. Computer Engineering and Applications, 2016, 52(5): 179-184.

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    [5] [5] Xu Tianyang , Hui Xiaowei, Lin Sen. A near infrared finger vein recognition approach based on wavelet gray scale surface matching[J]. Laser & Optoelectronics Progress, 2016, 53(4): 041005.

    [6] [6] Jia Xu, Sun Fuming, Cao Yudong, et al. Dorsal hand vein recognition algorithm based on effective dimensional feature[J]. Computer Science, 2016, 43(1): 315-318.

    [7] [7] Lin Jianmin, Feng Gui. Palm vein recognition method based on single sample[J]. Computer Engineering and Applications, 2015, 51(2): 181-184.

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    [10] [10] Fischer M, Rybnicek M, Tjoa S. A novel palm vein recognition approach based on enhanced local gabor binary patterns histogram sequence[C]. Proceedings of the 19th International Conference on Systems, Signals and Image Processing (IWSSIP), 2012: 429-432.

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    [16] [16] Cao J, Shi W, Salim A, et al. MyPalmVein: A palm vein-based low-cost mobile identification system for wide age range[C]. Proceedings of International Conference on E-Health Networking, Application & Services, 2015: 324-325.

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    [2] Yang Huixian, Zhang Fei, Chen Yong, Liu Jian, Zhou Tongtong. Single Sample Face Recognition Based on Improved Center-Symmetric Local Binary Pattern and Bit-Plane Decomposition[J]. Laser & Optoelectronics Progress, 2018, 55(7): 71012

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    Lin Sen, Xu Tianyang, Wang Ying. Palm Vein Recognition Based on Gabor Wavelet and NBP Algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(5): 51002

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    Paper Information

    Category: Image Processing

    Received: Dec. 8, 2016

    Accepted: --

    Published Online: May. 3, 2017

    The Author Email: Lin Sen (lin_sen6@126.com)

    DOI:10.3788/lop54.051002

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