Using MST in Handwritten Chinese Characters Segmentation
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    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%.

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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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History
  • Received:May 11,2004
  • Revised:January 06,2005
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