首页> 外文会议>International Conference on Ubi-Media Computing >Study on Correctness Judgement of Handwritten Chinese Characters Based on Feature Matrix for Similarity Matching
【24h】

Study on Correctness Judgement of Handwritten Chinese Characters Based on Feature Matrix for Similarity Matching

机译:基于特征矩阵对相似性匹配的手写汉字正确性判断研究

获取原文
获取外文期刊封面目录资料

摘要

With the unprecedented development of Computer Aided Instruction, integrating information technology into the teaching of Chinese character writing has become a trend. As an important part of Chinese character writing teaching supported by mobile platform, the correctness of judgment automatically plays an important role. On this basis, this paper designs and develops a method for judging the correctness of handwritten Chinese characters based on feature matrix. It firstly extracts the stroke features which includes stroke orientation, stroke length, absolute position and combination relationship of the stroke, then similarity matching is achieved by the feature matrix. This method can realize the one-to-one correspondence between the user's handwritten Chinese strokes and the standard ones, making the whole character correctness judgement and the specific error strokes and error types locating possible, which can be applied to Chinese character writing training and teaching.
机译:随着计算机辅助教学的前所未有的发展,将信息技术整合到汉字写作教学中已成为一种趋势。作为移动平台支持的汉字写作教学的重要组成部分,判断的正确性自动发挥着重要作用。在此基础上,本文设计并开发了一种基于特征矩阵判断手写汉字的正确性的方法。它首先提取包括行程方向,行程长度,绝对位置和行程的组合关系的行程特征,然后通过特征矩阵实现相似度匹配。该方法可以实现用户手写的汉语笔画和标准的一对一的对应关系,使整个性格正确判断和特定的错误笔划和定位可能的错误类型可以应用于汉字写作培训和教学。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号