计算机工程与应用2011，Vol.47Issue(8)：164-166,3.DOI:10.3778/j.issn.1002-8331.2011.08.048
融合奇异值分解和最大间距准则的人脸识别方法
Face recognition approach based on fusion of singular value decomposition and maximum margin criterion
王振海1
作者信息
- 1. 临沂大学信息学院,山东,临沂,276005
- 折叠
摘要
Abstract
A face recognition method based on singular value decomposition and maximum margin criterion discriminant analysis are proposed.Singular value decomposition is performed on face image matrix,and some bigger singular values are selected to form feature vector.According to maximum margin criterion, MMC feature matrices of training samples and testing samples are calculated.During fusion period,using Euclidean distance measure,the distance of testing sample to all training samples is calculated in both SVD feature set and MMC feature set respectively.Weighted fusion operation is performed on these results that have been gotten above.The nearest distance classification is used to distinguish each testing face sample.The experimental results on ORL face database indicate that the approach is efficient.关键词
人脸识别/奇异值分解/最大间距准则Key words
face recognition/ Singular Value Decomposition (SVD)/ Maximum Margin Criterion (MMC)分类
信息技术与安全科学引用本文复制引用
王振海..融合奇异值分解和最大间距准则的人脸识别方法[J].计算机工程与应用,2011,47(8):164-166,3.
