Circle-Block Local Binary Patterns for Face Recognition
Authors
Yifan Tang, Cairong Zhao, Duoqian Miao
Corresponding Author
Yifan Tang
Available Online November 2015.
- DOI
- 10.2991/icectt-15.2015.90How to use a DOI?
- Keywords
- Circle-Block; Local Binary Patterns; Face Recognition
- Abstract
In this paper a new texture operator based on Local Binary Patterns (LBP) was proposed for face recognition called Circle-Block Local Binary Patterns (CB-LBP). The mean gray values of a circle block pixels are calculated to achieve macroscopic feature extraction. Our method was compared with the LBP-based patterns tested on Extended Yale B face image databases. Experimental results show the effectiveness of the proposed method.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yifan Tang AU - Cairong Zhao AU - Duoqian Miao PY - 2015/11 DA - 2015/11 TI - Circle-Block Local Binary Patterns for Face Recognition BT - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation PB - Atlantis Press SP - 471 EP - 475 SN - 2352-5401 UR - https://doi.org/10.2991/icectt-15.2015.90 DO - 10.2991/icectt-15.2015.90 ID - Tang2015/11 ER -