引用本文:吕岳,施鹏飞,张克华.基于组件合并的手写体汉字串分割.软件学报,2000,11(11):1554-1559
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基于组件合并的手写体汉字串分割
吕岳1, 施鹏飞1, 张克华1
上海交通大学图像处理与模式识别研究所,上海,200030
摘要:
人们对孤立的手写体汉字字符的离线 识别做了大量的研究工作,而走向实用化的进展并不快.除了单字识别率不理想以外,从文本 中正确分割出单个汉字字符也是一个主要难题,因为字符的识别离不开正确分割.利用汉字的 基本结构特征,根据两个组件之间的上下、左右和包围关系,对组件进行合并形成完整的汉字 图像.对整个汉字字符串中组件的宽度和相邻组件的间距进行分析,有助于左右关系组件的合 并.实验结果表明,该方法对手写体汉字字符串具有理想的分割效果.
关键词:  手写体汉字串  结构特征  字符分割  组件  合并
DOI:
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基金项目:国家自然科学基金资助项目(60075007)
Segmentation of Handwritten Chinese Character String Based on Merging of Elements
Lü Yue,SHI Peng-fei,ZHANG Ke-hua
Abstract:
A number of papers concerning the off-line r ecognition of handwritten Chinese characters have been published in the recent y ears, and almost all of them focus on the recognition of isolated characters. Ho wever, off-line recognition of handwritten Chinese characters is not satisfacto ry. One reason is that the recognition rate is low, the other is that the segmen tation of handwritten Chinese characters is a difficult problem because recognit ion of characters relies on correct segmentation of characters. In this paper, a ccording to structural features of Chinese characters, elements are merged based on their topological relations, viz., upper-bottom, left-right and inside-ou tside. The width of elements and the spacing between neighboring elements in the whole handwritten Chinese character string are analyzed to guide the merging of left-right elements. Experimental results show that the method has satisfactor y performance for segmenting handwritten Chinese character string.
Key words:  handwritten Chinese character string  s tructural feature  character segmentation  element  merging

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