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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29226


    Title: CONFUSION SET RECOGNITION OF ONLINE CHINESE CHARACTERS BY ARTIFICIAL-INTELLIGENCE TECHNIQUE
    Authors: FAN,KC;LIN,CK;CHOU,KS
    Contributors: 資訊工程研究所
    Keywords: ONLINE RECOGNITION
    Date: 1995
    Issue Date: 2010-06-29 20:16:52 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper, a knowledge based on-line recognition system for the square written Chinese similar characters is presented by utilizing Chinese character knowledge and artificial intelligence techniques. The reference patterns are represented by the heuristic knowledge describing them. The knowledge consists of the knowledge primitives designed in the system. For the pattern pair matching made on an unknown pattern, the matching recognition is made by utilizing problem reduction strategy, goal-driven inferencing like matching, and AND-OR tree searching algorithm. The method is developed and concatenated to a first on-line recognition system specially for recognizing similar characters. The recognized similar characters to be researched in the experimental system are chosen from the part of the error recognition results of the first system, totally 96 similar characters. The average recognition rate of 99.9% can be achieved. The results suggest that the knowledge can present efficient distinguishing ability and the method is reasonable and feasible.
    Relation: PATTERN RECOGNITION
    Appears in Collections:[資訊工程研究所] 期刊論文

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