Face Recognition Based on FP-Growth Improved LBP Operator

被引：5

作者：

Long, Sijie ^{[1
]}

Zheng, Chengfeng ^{[1
]}

Wu, Canliu ^{[1
]}

Qi, Tianyi ^{[1
]}

Li, Xiaojie ^{[1
]}

Zhu, Yongsheng ^{[1
]}

Liu, Jingyi ^{[1
]}

Li, Jinwei ^{[1
]}

Shuai, Jia ^{[1
]}

Xie, Zefeng ^{[1
]}

Chen, Zhongyuan ^{[1
]}

Du, Hang ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan, Hubei, Peoples R China

来源：

2019 3RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (ICDSP 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Face recognition; Local binary mode; FP-Growth algorithm;

D O I：

10.1145/3316551.3318235

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：100 / 103

页数：4

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