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View all- Jamsheela ORaju G(2022)An improved frequent pattern tree: the child structured frequent pattern tree CSFP-treePattern Analysis & Applications10.1007/s10044-022-01111-126:2(437-454)Online publication date: 26-Sep-2022
Face Recognition Based on FP-Growth Improved LBP Operator
Authors: 
Sijie Long, Chengfeng Zheng, Canliu Wu, Tianyi Qi, Xiaojie Li, Yongsheng Zhu, Jingyi Liu, Jinwei Li, Jia Shuai, Zefeng Xie, Zhongyuan Chen, Hang DuAuthors Info & Claims
Pages 100 - 103
Abstract
The basic features extracted by the basic LBP operator are not complete. It only analyzes the symbolic values of local differences. How to improve the features extracted by the LBP operator and how to effectively express the information that the basic LBP operator fails to express to achieve a better recognition rate has not yet been solved. By selecting FP-tree, the grey value of the image is frequently analyzed, and then the feature of LBP is used to extract features, so as to obtain a more comprehensive local feature of the extracted facial image.
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Index Terms
- Face Recognition Based on FP-Growth Improved LBP Operator
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Published In
February 2019
170 pages
ISBN:9781450362047
DOI:10.1145/3316551
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Association for Computing Machinery
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Publication History
Published: 24 February 2019
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- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
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ICDSP 2019
ICDSP 2019: 2019 3rd International Conference on Digital Signal Processing
February 24 - 26, 2019
Jeju Island, Republic of Korea
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View all- Jamsheela ORaju G(2022)An improved frequent pattern tree: the child structured frequent pattern tree CSFP-treePattern Analysis & Applications10.1007/s10044-022-01111-126:2(437-454)Online publication date: 26-Sep-2022
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