{"title":"A HMM- based approach for online Uyghur word handwriting recognition","authors":"H Zhao, Wenping Ge","doi":"10.1109/CSQRWC.2012.6294993","DOIUrl":null,"url":null,"abstract":"Online handwriting recognition is a very important part in the field of pattern recognition. Up to now there are few reports about the online Uyghur word handwriting recognition. This paper proposes an effective method based on HMM to recognize handwritten Uyghur word. This method introduces a feature extraction approach and presents a language model, resulting in a higher accuracy.","PeriodicalId":250360,"journal":{"name":"CSQRWC 2012","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSQRWC 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2012.6294993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Online handwriting recognition is a very important part in the field of pattern recognition. Up to now there are few reports about the online Uyghur word handwriting recognition. This paper proposes an effective method based on HMM to recognize handwritten Uyghur word. This method introduces a feature extraction approach and presents a language model, resulting in a higher accuracy.