Face Recognition Based on FP-Growth Improved LBP Operator

Sijie Long, Chengfeng Zheng, Canliu Wu, T. Qi, Xiaojie Li, Yongsheng Zhu, Jingyi Liu, Jinwei Li, Jia Shuai, Zefeng Xie, Zhongyuan Chen, Hang Du
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引用次数: 2

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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基于FP-Growth改进LBP算子的人脸识别
基本LBP算子提取的基本特征不完整。它只分析了地方差异的象征价值。如何改进LBP算子提取的特征,以及如何有效地表达基本LBP算子无法表达的信息以达到更好的识别率还没有得到解决。通过选择FP-tree,对图像的灰度值进行频繁分析,然后利用LBP的特征进行特征提取,从而获得提取的人脸图像更全面的局部特征。
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