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Feature extraction, as one of the two important components in handwritten digit recognition systems, is still a key research area. Principal Component Analysis (PCA) is an efficient linear feature extraction algorithm and is widely used in handwritten digit recognition system. However, it can hardly deal with the pattern with complex nonlinear variations,(More)
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