基于相似度匹配特征矩阵的手写体汉字正确性判断研究

Juying Wu, Qing Han, Yi Li
{"title":"基于相似度匹配特征矩阵的手写体汉字正确性判断研究","authors":"Juying Wu, Qing Han, Yi Li","doi":"10.1109/Ubi-Media.2019.00025","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Correctness Judgement of Handwritten Chinese Characters Based on Feature Matrix for Similarity Matching\",\"authors\":\"Juying Wu, Qing Han, Yi Li\",\"doi\":\"10.1109/Ubi-Media.2019.00025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":259542,\"journal\":{\"name\":\"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Ubi-Media.2019.00025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Ubi-Media.2019.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着计算机辅助教学的空前发展,将信息技术融入汉字写作教学已成为一种趋势。作为移动平台支持的汉字书写教学的重要组成部分,判断的正确性自动发挥着重要的作用。在此基础上,本文设计并开发了一种基于特征矩阵的手写体汉字正确性判断方法。首先提取笔画特征,包括笔画方向、笔画长度、笔画绝对位置和笔画组合关系,然后利用特征矩阵实现相似度匹配。该方法可实现用户手写汉字笔画与标准笔画的一一对应,使汉字整体正确性判断和具体错误笔画、错误类型定位成为可能,可应用于汉字书写训练与教学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Study on Correctness Judgement of Handwritten Chinese Characters Based on Feature Matrix for Similarity Matching
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Target-Monitoring Learning Companion Design DeepBonds: A Deep Learning Approach to Predicting United States Treasury Yield Clinically Applicable Deep Learning for Diagnosis of Diabetic Retinopathy Markerless Indoor/Outdoor Augmented Reality Navigation Device Based on ORB-Visual-Odometry Positioning Estimation and Wall-Floor-Boundary Image Registration [Copyright notice]
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1