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MST在手写汉字切分中的应用
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Supported bythe National Natural Science Foundation of China under Grant Nos.60033020,60373030(国家自然科学基金);the National Grand Fundamental Research 973 Program of China under Grant No.2002CB312103(国家重点基础研究发展规划(973));the Foundation of Beijing Jiaotong University under Grant No.2004SM013(北京交通大学基金)


Using MST in Handwritten Chinese Characters Segmentation
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    摘要:

    手写汉字切分是根据输入笔迹的空间位置关系进行汉字部件的合并切分,形成完整的汉字笔划以便进行识别处理.综合利用了汉字部件的结构位置关系和笔划的空间位置关系,根据笔划的最小生成树(minimal spanningtree,简称MST)对联机连续手写输入汉字进行切分,取得了较好的切分结果.切分的准确率超过91.6%.

    Abstract:

    Handwritten Chinese characters segmentation is to process strokes based on its spatial relations to form character elements for recognition. This paper introduces a method to segment Chinese characters according to the topological relations of Chinese component and minimal span tree of strokes. The experiment shows that this new method can achieve good performance. The accuracy of segmentation is over 91.6%.

    参考文献
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    [2]Breuel TM.Representation and metrics for off-line handwriting segmentation.In:Proc.of the 8th Int'l Workshop on Frontiers in Handwriting Recognition.2002.821-826.http://citeseer.ist.psu.edu/breuel02representations.html
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    [11]Zhang XW.Adaptive Character Extraction from Continuous HandWriting Chinese Text Based on Multilevel Constrains.2003 (in Chinese with English abstract).http://iel.iscas.ac.cn/lab_achive/lab_achive_publications_2003.htm [1]吴佑寿.汉字识别--原理、方法与实现.北京:高等教育出版社,1992.
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韩勇,须德,戴国忠. MST在手写汉字切分中的应用.软件学报,2006,17(3):403-409

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  • 收稿日期:2004-05-11
  • 最后修改日期:2005-01-06
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