The difficulties and limitations in current research of hand printed Chinese characterare analyzed,and a new approach based on machine learning and natural language under-standing is presented.With four-angles of Chinese characters as features and with the strategyof learning from examples,the primitive recognition rules can be induced from large number ofsamples,hence the limitation of hand-made primitive model can be avoied.The experiment re-sults show the feasibility of the present approach.
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