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基于结构知识的手写体汉字部件提取算法

Extraction algorithm of handwritten Chinese character components based on structure knowledge

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【作者】 李泽瑶李成城

【Author】 LI Ze-yao;LI Cheng-cheng;College of Computer Science and Technology, Inner Mongolia Normal University;

【通讯作者】 李成城;

【机构】 内蒙古师范大学计算机科学技术学院

【摘要】 针对手写体汉字结构复杂、部件粘连等问题,提出一种基于结构知识的手写体汉字部件提取方法。依据汉字结构特征,结合投影法制定连通区域合并规则,实现汉字部件初步提取。在此基础上,针对部件间存在粘连等书写不规范问题,对传统滴水算法进行改进,实现粘连部件分割。经实验验证,该方法较传统滴水算法在粘连部件切分方面的效果有明显提升,可实现对多种结构汉字的部件提取,具有较高的实用价值。

【Abstract】 To solve the problems of complex structure and adhesive components of handwritten Chinese characters, a method of component extraction of handwritten Chinese characters based on structural knowledge was proposed. Based on the structure characteristics of Chinese characters and projection method, the connected region merging rules were formulated to realize the initial extraction of Chinese character components. On this basis, the traditional dripping algorithm was improved to realize the segmentation of the adhering components in view of the non-standard writing problems such as adhesion between components. Experimental results show that the proposed method is better than the traditional dripping algorithm in the adhesion components segmentation, and can realize the extraction of various structural Chinese characters components, which has high practical value.

【基金】 内蒙古自治区科技计划基金项目(2020GG0167)
  • 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2023年05期
  • 【分类号】TP391.43
  • 【下载频次】27
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