摘要
提出一种将对称主成分分析(Symmetrical Principal Component Analysis)思想应用于人脸特征提取的算法。实验结果表明,该方法减少了计算量,提高了系统的识别率。
A new method based on SCPA in feature extraction is presented. The results of experiment show that this approach can reduce computing complexity and has higher recognition rate.
出处
《计算机与数字工程》
2008年第4期127-129,共3页
Computer & Digital Engineering
关键词
人脸识别
小波变换
主成分分析
特征提取
face recognition, wavelet transform, principal component analysis, feature extract
