现代电子技术2016，Vol.39Issue(18)：88-90,95,4.DOI:10.16652/j.issn.1004-373x.2016.18.022
云计算平台下的人脸识别
Face recognition on cloud computing platform
摘要
Abstract
The face recognition method on cloud computing platform is studied. A face recognition method based on support vector machine classification model was established on Hadoop platform to develop the parallel computing advantages of MapRe⁃duce, and improve the recognition efficiency. The features of face recognition of the conventional LBP operator and depth LBP operator are different, so the two operators are combined with weighted method to give play to their respective advantages. The Yale B face database, ORL face database and FERET face database widely used in face recognition field are adopted to analyze the face recognition algorithm on cloud computing platform with instance. The results show that the recognition accuracy of the studied method is higher than that of the traditional methods. The face recognition method studied in this paper is compared with the classifier established with BP neural network and RBF neural network on the same cloud computing platform. The results show that, on cloud computing platform, the face recognition effect of using SVM classifier is better than that of using BP neural network and RBF neural network.关键词
云计算/Hadoop平台/人脸识别/支持向量机/神经网络Key words
cloud computing/Hadoop platform/face recognition/support vector machine/neural network分类
信息技术与安全科学引用本文复制引用
张泊平..云计算平台下的人脸识别[J].现代电子技术,2016,39(18):88-90,95,4.基金项目
国家自然科学基金资助项目（61163034）；河南省科技攻关资助项目基于视觉测量的GPS导航技术研究 （）
