计算机工程与应用2012，Vol.48Issue(15)：181-186,6.DOI:10.3778/j.issn.1002-8331.2012.15.038
基于LBP直方图的复杂光照下的人脸识别
Face recognition based on Local Binary Patterns under difficult lighting condition
摘要
Abstract
This paper proposes a robust method for face recognition under uncontrolled lighting condition. The effects of illumination variation are reduced by Gamma correction, DoG(Difference of Gauss filtering) and contrast equalization. The original image is divided into several non-overlapping cells and their corresponding histograms of Local Binary Pattern (LBP) are generated according to the characteristics of the local binary patterns in face image. PCA (Principal Component Analysis) is used to reduce the dimension of feature vector.The classification is made by SVM (Support Vector Machine). The experimental results show that the average precision of the proposed algorithm is up to 99.68%, which indicates the performance of the proposed algorithm is better than that of the existing methods.关键词
人脸识别/局部二元模式/主成分分析/支持向量机Key words
face recognition/Local Binary Pattern(LBP)/Principal Component Analysis (PCA)/Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
王茜,肖国强,吴松,林宽..基于LBP直方图的复杂光照下的人脸识别[J].计算机工程与应用,2012,48(15):181-186,6.基金项目
重庆市科委自然科学基金(No.2008BB2252). （No.2008BB2252）
