l1 Norm Nearest Neighbor Convex Hull Classifier for Face Recognition
l1范数最近邻凸包分类器在人脸识别中的应用

As an important distance measure, l1 norm is widely used in pattern classification. In general, under different distance measure definition, the classifiers with same mechanism will have different performances. In this paper, a face recognition algorithm based on l1 norm nearest neighbor convex hull classifier (l1 NNCH)is presented. The classifier replaces the l2 norm of Nearest Neighbor Convex Hull algorithm with l1 norm. The l1 distance from a test point to the convex hull of a class training set is taken as the similarity measurement of nearest neighbor rule. The experiments on the ORL face database show the good performances of l1 NNCH.