{"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}
引用次数: 0
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.