Face recognition based on Gabor transform and variable precision rough set
Lijun Liu · Computer Engineering and Applications Journal · 2008
In order to overcome the shortcoming of PCA,a method for extracting Gabor features of face images based on variable precision rough set is presented.First,Gabor features are extracted from face images.After reduced by 2DPCA algorithm,the features are reduced further by rough set.Then the nearest classifier is trained for classification.The experiments being performed on ORL human face image database show the method presented in this paper is superior to that of PCA algorithm and Gabor-PCA algorithm and so on.