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。
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.
出处
《河北科技师范学院学报》
CAS
2008年第2期36-39,共4页
Journal of Hebei Normal University of Science & Technology
关键词
人脸识别
主成分分析
线性判别分析
分类
face recognition
principle component analysis （PCA）
linear discriminant analysis （LDA）
classification
