Face Recognition Algorithm Based on Rough Set and mPCA
Yanfeng Jin · Jisuanji gongcheng · 2008
This paper proposes a new face recognition approach based on rough set and mPCA. It modularizes the face images according to some very rules; and deals with the modular images by using PCA, reduces the data which has been descented by PCA. This method not only reduces the influence to face recognition brought by the change of pose and expression of the face images, but also wipes off a lot of redundant data. Thereby, it reduces the complexity of computation and enhances the recognition rate observably. Experimental result based on ORL face database shows that the correct recognition ratio can reach 97 percent.