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Face feature extraction and recognition via local binary pattern and two-dimensional locality preserving projection

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Abstract

In this paper, we propose a novel face feature extraction approach based on Local Binary Pattern (LBP) and Two Dimensional Locality Preserving Projections (2DLPP) to enhance the texture features and preserve the space structure properties of a face image. LBP is firstly used to remove the effect of illumination and noise, which would enhance the detailed texture characteristics of face images. Then 2DLPP is performed to extract some prominent features and decrease the image dimension with space structure information. The Nearest Neighborhood Classifier (NNC) is used to recognize a face image at the end. In addition, the rule for dimension selection is studied from the results of experiments about choosing an appropriate feature dimension by 2DLPP computation. The experimental results on the Yale, the extended Yale B and CMU PIE C09 benchmark datasets showed that the proposed face feature extraction and recognition method achieves a better performance in comparison with similar techniques, and the proposed dimension selection rule can give an appropriate feature dimension in 2DLPP.

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Acknowledgments

This work was supported by Natural Science Foundation of China under grant 61572269, the Key Research and Development Programs of Shandong Province Project: 2018GGX101040.

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Authors and Affiliations

  1. School of Communication and Electronic Engineering, Qingdao University of Technology, Qingdao, 2660520, People’s Republic of China

    Lijian Zhou & Hui Wang

  2. Jinan Technician College, Jinan, 2660520, People’s Republic of China

    Hui Wang

  3. Department of Computing, Curtin University, Perth, WA, 6102, Australia

    Wanquan Liu

  4. School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310027, People’s Republic of China

    Zhe-Ming Lu

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  1. Lijian Zhou
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  2. Hui Wang
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  3. Wanquan Liu
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  4. Zhe-Ming Lu
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Correspondence to Lijian Zhou.

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Zhou, L., Wang, H., Liu, W. et al. Face feature extraction and recognition via local binary pattern and two-dimensional locality preserving projection. Multimed Tools Appl 78, 14971–14987 (2019). https://doi.org/10.1007/s11042-018-6868-6

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