Face recognition + PCA + SVM
2016-08-23
4 0 0
no vote
Other
Earn points
A novel approach for solving face recognition problem. Our method combines 2D Principal Component Analysis
(2DPCA), one of the prominent methods for extracting feature vectors, and Support Vector Machine (SVM), the
most powerful discriminative method for classification. Experiments based on proposed method have been
conducted on OR database; the results show that the proposed method could improve the classification rates.matlab
识别
人脸
分析
支持
向量
成分
Related Source Codes
GMSK Linear Receiver
0
0
no vote
NSGA-II algorithm
0
0
no vote
NSGA-III multi-objective optimization algorithm
0
0
no vote
Compressed sensing example
0
0
no vote
CFAR detector example
0
0
no vote
No comment