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Face recognition using weber local circle gradient pattern method

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Abstract

The Weber Local Descriptor (WLD) is a classical and efficient face representation method, but it has the shortage that it employs the contrast information between the center pixel and its eight nearest pixels, which can also be sensitive to illumination variation. In order to overcome the shortcomings mentioned above and solve the problem of sensitivity to the illumination, we propose a novel face recognition algorithm, Weber Local Circle Gradient Pattern (WLCGP), which not only takes the relationship between the target pixel and the surrounding pixels into account, but also considers the relationship among the surrounding pixels. Through calculating the overall gradient information and the cycle gradient information of an image, the WLCGP method can produce the fusion characteristic and extract more effective and discriminative feature information. Finally, we demonstrate the superiority of the proposed WLCGP method over the traditional methods on the ORL, AR face database and the Singapore infrared face database.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant No.61502338 and No. 61502339, the 2015 key projects of Tianjin science and technology support program No. 15ZCZDGX00200, the Open Fund of Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis No.GDUPTKLAB201504, and the Fund of Tianjin Food Safety & Low Carbon Manufacturing Collaborative Innovation Center.

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Authors and Affiliations

  1. College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, 300222, China

    Shanshan Fang, Jucheng Yang, Na Liu, Wenhui Sun & Tingting Zhao

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  1. Shanshan Fang
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  2. Jucheng Yang
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  3. Na Liu
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  4. Wenhui Sun
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  5. Tingting Zhao
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Correspondence to Jucheng Yang.

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Fang, S., Yang, J., Liu, N. et al. Face recognition using weber local circle gradient pattern method. Multimed Tools Appl 77, 2807–2822 (2018). https://doi.org/10.1007/s11042-017-4412-8

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  • DOI: https://doi.org/10.1007/s11042-017-4412-8

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