湖北民族学院学报（自然科学版）Issue(2)：193-196,214,5.DOI:10.13501/j.cnki.42-1569/n.2015.06.020
基于 PCA 和 SVM 的人脸识别技术研究
Research on Human Face Recognition Technology Based on PCA and SVM
摘要
Abstract
This paper analyzed the key points of face recognition system design by the extraction of face image feature and build of classifier , and it proposed a plot which built face recognition system by in-tegrating principal component analysis and support vector machine technology .And a fast PCA algorithm had been proposed on the basis of the theory of principal component analysis technology .This paper ana-lyzed the impact of the system parameters and dimensions of the selected feature vector on recognition rate of the experimental system and got the optimal solution on basis of the system test results on ORL face da -tabase .And experimental results have demonstrated that recognition rate of the method this paper proposed is superior to other general methods on the small training set , and its recognition rate increased about 7%to 10%higher than the average artificial neural network .关键词
人脸识别/主成分分析/快速PCA/支持向量机Key words
human face recognition technology/PCA/fast PCA/SVM分类
信息技术与安全科学引用本文复制引用
郭黎,冷洁,梅文兰,孔祥聪,廖宇,廖红华..基于 PCA 和 SVM 的人脸识别技术研究[J].湖北民族学院学报（自然科学版）,2015,(2):193-196,214,5.基金项目
国家自然科学基金项目（61263030，61463014）；湖北省自然科学基金资助项目（2014CFB612）；湖北民族学院博士启动基金（ MY2014B018）． （）
