计算机工程2011，Vol.37Issue(22)：134-136,3.
一种高效的人脸识别算法
Efficient Human Face Recognition Algorithm
摘要
Abstract
To effectively deal with face recognition problem, an efficient face recognition algorithm based on Local Fisher Discriminant Analysis(LFDA) and optimal Support Vector Machine(SVM) is proposed in this paper. By comprehensive consideration of local geometric structure and class information, the high dimensional face data are first mapped into lower dimensional feature space with LFDA so that the curse of dimensionality can be avoided, the optimal SVM that is trained by the multiplicative update rule is used to classify and recognize different face image herein. Experimental results on face image databases demonstrate that the proposed algorithm not only has fast running speed, but also achieves higher recognition accuracy.关键词
人脸识别/局部Fisher鉴别分析/支持向量机/流形学习/特征提取/乘性更新规则Key words
human face recognition/ Local Fisher Discriminant Analysis(LFDA)/ Support Vector Machine(SVM)/ manifold learning: feature extraction/ multiplicative update rule分类
信息技术与安全科学引用本文复制引用
孙霞,王自强..一种高效的人脸识别算法[J].计算机工程,2011,37(22):134-136,3.基金项目
国家自然科学基金资助项目(70701013) （70701013）
河南省自然科学基金资助项目(102300410020) （102300410020）
