Application of HMM in Handwritten Digit OCR
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Abstract
How to apply HMM(hidden Markov model) to handwritten digit recognition is a valuable issue. Based on the characteristics of handwritten digit and feature extraction,the training and the parameter optimization of the HMM is studied. This method has been used in a bank check OCR recognition system, and has gained obvious enhancement in system performance.
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