Post-preprocessing is an important part in hand-written character recognition system. In post-preprocessing, the knowledge about address is used to verify the result of segmentation and recognition. As a result, the best-matched output of segmentation and recognition is selected. the main proble in post-preprocessing is there are too many addresses needed to be handled, so that the processing time is tremendously long. In this paper, we propose a post-processing technique with rough and fine classfication. Especially in rough classification, we propose a post-processing technique with rough and fine classification. Especially in rough classification, we introduce the proiority allotting method(PAM) for selecting address candidates with accuracy and speed. We show the effectiveness of this method and the recognition system constructed by applying the proposed method.
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