摘要
扼要阐明抽取二维人脸图像特征方法并进行人脸识别,结合实验结果进行分析比较主元分析和核主元分析方法的优缺点,得出核主元分析方法在人脸识别算法中误识率低,解决了维数和小样本问题,能准确快速识别人脸的结论.
Extracting and recognizing the 2-Dimension face feature are briefly expressed, combined with the investigation results on principle component analysis and kernel principle component analysis, which advantages and shortcomings are compared. The experiment finds that the KPCA algorithm on face recognition shows the good performance of lower error, resolves the problems of dimension and small sample system, and recognizes face accurately and quickly
出处
《北京工商大学学报（自然科学版）》
CAS
2008年第3期37-39,共3页
Journal of Beijing Technology and Business University:Natural Science Edition
关键词
人脸识别
主元分析法
核主元分析法
face recognition
principle component analysis
kernel principle component analysis
