{"title":"HMM based approach for Online Arabic Handwriting recognition","authors":"Hozeifa Adam Abd Alshafy, Mohamed Elhafiz Mustafa","doi":"10.1109/ISDA.2014.7066288","DOIUrl":null,"url":null,"abstract":"This paper presents a novel system approach for online Arabic handwriting recognition. The approach segments the word using new character boundaries detection based algorithm. Moreover it employs HMM-based classification method for the recognition. A dataset: Sudan University of Science and Technology Online Arabic Handwriting (SUSTOLAH) is used in testing the proposed approach. Promising experimental results of testing the approach with the dataset are provided.","PeriodicalId":328479,"journal":{"name":"2014 14th International Conference on Intelligent Systems Design and Applications","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 14th International Conference on Intelligent Systems Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2014.7066288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a novel system approach for online Arabic handwriting recognition. The approach segments the word using new character boundaries detection based algorithm. Moreover it employs HMM-based classification method for the recognition. A dataset: Sudan University of Science and Technology Online Arabic Handwriting (SUSTOLAH) is used in testing the proposed approach. Promising experimental results of testing the approach with the dataset are provided.
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