计算机工程与应用2011，Vol.47Issue(19)：200-202,3.DOI:10.3778/j.issn.1002-8331.2011.19.056
基于模糊决策和MSD的单样本人脸识别算法
Face recognition with single training sample based on fuzzy decision and MSD
摘要
Abstract
To improve the recognition performance of face recognition with single training sample,a face recognition method based on fuzzy decision and maximum scatter difference with single training sample is proposed in this paper.In this method, each training sample is portioned several blocks to increase the number of the element of the training sample set, on which the maximum scatter difference algorithm is performed to get the optimal projection matrix.Therefore, the features of the training sample and testing facial images can be obtained by projecting them on the optima projection matrix achieved above.During the recognition stage, the fuzzy decision is used to do the classification.Extensive experiment results on ORL and FERET illustrate the feasibility of the proposed method.关键词
人脸识别/最大散度差鉴别分析/模糊决策/单训练样本Key words
face recognition/maximum scatter difference/fuzzy decision/single training sample分类
信息技术与安全科学引用本文复制引用
王晓洁,李晓东..基于模糊决策和MSD的单样本人脸识别算法[J].计算机工程与应用,2011,47(19):200-202,3.
