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基于Fisherface和组合KNN分类器的人脸识别算法
Face Recognition Algorithm Based on Fisherface and Combined KNN Classifier
【摘要】 基于Fisherface和组合K近邻(KNN)分类方法的人脸识别算法首先采用Fisherface进行特征提取,构成特征空间。然后,利用组合KNN分类器对提取的特征进行识别。在ORL人脸数据库上的实验结果表明该方法具有良好的性能。
【Abstract】 A new face recognition algorithm based on Fisherface and combined KNN classifier is presented.First Fisherface was used to feature extract,which was formed into a feature space.Then,a combined KNN classifier was designed in the feature space.Experiment results of the facial database of ORL indicated that the proposed method had good performance.
【关键词】 人脸识别;
主成分分析;
线性判别分析;
分类;
【Key words】 face recognition; principle component analysis(PCA); linear discriminant analysis(LDA); classification;
【Key words】 face recognition; principle component analysis(PCA); linear discriminant analysis(LDA); classification;
- 【文献出处】 河北科技师范学院学报 ,Journal of Hebei Normal University of Science & Technology , 编辑部邮箱 ,2008年02期
- 【分类号】TP391.41
- 【被引频次】10
- 【下载频次】408