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The technique of two-dimensional principal component analysis (2DPCA) is analyzed and its essence is revealed. The image total scatter matrix of 2DPCA is in nature equivalent to the sum of all total scatter matrices of m training subsets in which the kth subset is formed by the kth line of each of all training images, where m is the number of lines contained in an image. Based on this result, the...