Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061004(2018)

Face Recognition Based on Improved Gradient Local Binary Pattern

Huixian Yang1、1; , Yong Chen、1*; *; , Fei Zhang1、1; , and Tongtong Zhou2、2;
Author Affiliations
  • 1 School of Physics and Optoelectronics, Xiangtan University, Xiangtan, Hunan 411105, China
  • 2 College of Mechanical and Electrical Engineering, Hunan Applied Technology University,Changde, Hunan 415000, China
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    [11] Zhang W C, Shan S G, Gao W et al. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition. [C]∥Proceedings of IEEE International Conference on Computer Vision, 786-791(2005).

    [12] Ye Z, Bai L, Nian Y J. Hyperspectral image classification algorithm based on Gabor feature and locality-preserving dimensionality reduction[J]. Acta Optica Sinica, 36, 1028003(2016).

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    [14] Song R, Zhang H X, Wu Y B et al. Image edge detection algorithm for laser active imaging[J]. Laser & Optoelectronics Progress, 54, 081007(2017).

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    CLP Journals

    [1] Yongzhi Quan, Shuhui Gao, Mengjing Yang, Xiaojia Jiang, Xinlong He. USM Sharpening Image Detection Based on Local Binary Pattern Method[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121002

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    Huixian Yang, Yong Chen, Fei Zhang, Tongtong Zhou. Face Recognition Based on Improved Gradient Local Binary Pattern[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061004

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    Paper Information

    Category: Image Processing

    Received: Oct. 9, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Yong Chen ( 279474385@qq.com)

    DOI:10.3788/LOP55.061004

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