An improved face recognition algorithm based on extended local binary pattern

Dongdan Guo; Bo Zhang; Shengsong Yang

doi:10.1117/12.2604570

5 October 2021 An improved face recognition algorithm based on extended local binary pattern

Dongdan Guo, Bo Zhang, Shengsong Yang

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 1191110 (2021) https://doi.org/10.1117/12.2604570
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

This paper mainly studies the problem of face recognition, and an extended local binary pattern method is proposed to achieve face recognition. In this paper, we propose a further improvement on the original LBP operator, which is named extended LBP. We add 8 pixels to the original 8 pixels to improve the recognition abilities. The added 8 pixel can be divided into two groups, because the sampling radius is different. After extended local binary pattern, we use the SVM classifier to achieve face recognition. Based on the proposed algorithm, the performance of face recognition is good.

Citation Download Citation

Dongdan Guo, Bo Zhang, and Shengsong Yang "An improved face recognition algorithm based on extended local binary pattern", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 1191110 (5 October 2021); https://doi.org/10.1117/12.2604570

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