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    林民, 宋柔. 一种笔段网格汉字字形描述方法[J]. 计算机研究与发展, 2010, 47(2): 318-327.
    引用本文: 林民, 宋柔. 一种笔段网格汉字字形描述方法[J]. 计算机研究与发展, 2010, 47(2): 318-327.
    Lin Min, Song Rou. A Stroke-Segment-Mesh (SSM) Glyph Description Method of Chinese Characters[J]. Journal of Computer Research and Development, 2010, 47(2): 318-327.
    Citation: Lin Min, Song Rou. A Stroke-Segment-Mesh (SSM) Glyph Description Method of Chinese Characters[J]. Journal of Computer Research and Development, 2010, 47(2): 318-327.

    一种笔段网格汉字字形描述方法

    A Stroke-Segment-Mesh (SSM) Glyph Description Method of Chinese Characters

    • 摘要: 现有计算机汉字字形描述方法在特征选取、字形比对计算方面存在缺陷,无法解决输入错字、古籍异体字、拼合字和自动比对字形等问题.面向应用提出一种具有颗粒度适当、无歧义、规范化基元特征,能描述一切可能字形(包括错字、异体字、拼合字)骨架异同的笔段网格汉字字形描述方法,并基于该描述给出了简单笔画、复合笔画分类及自动提取、结构关系计算等算法.实验表明,该方法可用于支持各种字形的描画输入和字形整体、局部比对计算.

       

      Abstract: In the field of Chinese characters information processing,there are drawbacks in the current description method of computerized Chinese character glyph, especially on the aspect of feature selection and computation for comparing glyphs, which cause many problems, such as the input of wrongly written characters, variant forms of characters in ancient literatures, and combined characters and automatic glyph comparison. This research offers an application oriented description method of Chinese character glyphs, which possesses the characteristics of suitable granular degree, ambiguity-free, and standardized basic units and which can be applied in the description of any possible different glyph skeletons (including wrongly written characters, variant form of a Chinese character, and combined characters). This research also offers the classifications of simple strokes, compound strokes, algorithms of automatic stroke extraction and structural relation computation based on stroke-segment-smesh of glyphs. The experiment indicates that this method can be applied in the descriptive input of any glyph and computation for comparing either the whole or part of glyphs. Therefore it can support Chinese character input of any glyphs by descriptive drawing and the description of wrongly written characters or the quantitative analysis of misused characters in the teaching and research of Chinese characters, the description and analysis of variant forms of characters in ancient literatures, or the retrieval of rare character glyphs in the electronic books.

       

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