计算机与数字工程2016，Vol.44Issue(10)：2048-2051,2056,5.DOI:10.3969/j.issn.1672-9722.2016.10.039
基于 LBP 和 PCA 算法的智能人脸识别
Intelligent Face Recognition Based on LBP and PCA Algorithm
摘要
Abstract
In this paper ,by extracting characteristics of LBP operator ,face is divided into sub regions ,and then by con‐necting these sub regions of LBP histogram face feature vector is generated .Due to the dimensions of the feature vector is ex‐orbitant ,dimension is reduced and compressed by PCA algorithm ,finally the test sample is completed with Euclidean distance classifier and the training sample of face recognition .Finally ,combined with the research ,a smart face detection system which includes face image acquisition ,image preprocessing and intelligent recognition is developed .关键词
人脸识别/局部二值模式/主成分分析法/OpenCV/C + +Key words
face recognition/LBP/PAC/OpenCV/C++分类
信息技术与安全科学引用本文复制引用
江琨,郑禄,帖军..基于 LBP 和 PCA 算法的智能人脸识别[J].计算机与数字工程,2016,44(10):2048-2051,2056,5.基金项目
中南民族大学大学生创新创业训练计划项目（编号XCX15032）；中南民族大学中央高校基本科研业务费专项资金项目（编号CZZ15002）资助。 （）
