计算机与数字工程2011，Vol.39Issue(7)：124-126,143,4.
基于PCA和SVM算法的人脸识别
Face Recognition Based on PCA and SVM Algorithm
刘学胜1
作者信息
- 1. 武汉理工大学自动化学院 武汉430070
- 折叠
摘要
Abstract
Face recognition technoloyg is an important technology in the computer vision and image pattern recognition field Pirncipal component analysis (PCA) is an impotrant algoirthm in face feature extraction. According to the high performance of support vector machine(SVM) in tackling small sample size, high-dimension and its good generalization. PCA is combined with SVM algoirthm in this paper. After etracting the feature from face image by using the PCA, it use the SVM to classify face. The computer simulating experiment based on ORL face database shows the meathod is feasible.关键词
人脸识别/主成分分析(PCA)/支持向量机(SVM)Key words
face recognition/ pirncipal 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
刘学胜..基于PCA和SVM算法的人脸识别[J].计算机与数字工程,2011,39(7):124-126,143,4.
