A New Classification Method for PCA-Based Face Recognition
Xiaofei Zhou, Yong Gang Shi, Peng Zhang, Guangli Nie, Wenhan Jiang · 2009
This paper introduces a novel pattern classification approach calledl1norm nearest neighbor convex hull (l1NNCH) approach and applies it for PCA-based face classification. Inl1NNCH,l1norm distance from a query to a convex hull of a class is defined as the similarity of nearest neighbor rule. Principle component analysis (PCA), as an efficient technology for extracting feature, is applied to extract features of faces in this paper. Experimental results on the ORL and NJUST603 face databases show thatl1NNCH combined with PCA has a good performance for face recognition.