基于LBEP算法的人脸识别

2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2018-08-01 DOI:10.1109/ICVRIS.2018.00023

Jing Dong, Quan Zhang, Fei Li

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引用次数: 0

摘要

本文在分析传统LBP算法的基础上，提出了局部二值平均熵模式(LBEP)算法，然后设计了基于LBEP算法的人脸识别过程，对不同区域的识别效果给予不同的权重和加权算法，最后实验结果表明，与传统LBP算法相比，LBEP算法的识别率有明显提高。

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Face Recognition Based on LBEP Algorithm

In this paper, based on the analysis of the traditional LBP algorithm, proposed local binary average entropy pattern (LBEP) algorithm, and then designed the face recognition process based on LBEP algorithm, given different weights to different regions of the recognition effect and weighted arithmetic, finally the experiment results show that compared with the traditional LBP algorithm the LBEP algorithm, the recognition rate improved significantly.

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2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)

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