摘要
提出了基于一致逼近技术进行人脸的特征抽取,实验结果表明,识别结果较主元分析技术精度高.
Human face recognition is a very important but also very diffcult subject in structural pattern recognition. Proposed the feature extraction of human face based on uniform approximation. The theoretical analysis and experiment shows that the precision of uniform approximation (UA) is higher than that of principal component analysis (PCA).
出处
《高师理科学刊》
1999年第2期21-25,共5页
Journal of Science of Teachers'College and University
关键词
一致逼近
主元分析
人脸识别
特征抽取
图像识别
Uniform approximation Principal compoent analysis Human face recognition Feature extraction