Piece-Wise Approximation of Distributed Cumulative Histogram Features for Face Classification

The statistical features of distributed cumulative image histograms for their use in the processes of classification and search are researched. To check their similarity on the proposed features are used faces of different intensity. Segmented 2D image histograms give the slightest difference for faces made for experiments.