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In order to overcome slow speed of traditional PCA, the paper presents that feature vector can be obtained by feature block two dimensional principal component analysis, and the Manhattan distance classifier output recognition results. Calculation speed can be enhanced efficiently. Compared with Euclidean distance, recognition rate is improved by Manhattan distance. The experiments of training data...