{"title":"Machine printed Farsi/Arabic sub-words retrieval by shape signatures","authors":"S. Mozaffari, Parnia Bahar","doi":"10.1109/IRANIANMVIP.2010.5941143","DOIUrl":null,"url":null,"abstract":"This paper focuses on shape description for machine printed Farsi/Arabic subwords retrieval. Fourier descriptor (FD) has been used frequently for shape retrieval applications. In this paper we proposed a simple and effective FD based technique for subwords retrieval. In this method, the small number of global parameters is used to eliminate dissimilar subwords. To investigate the efficiency of the proposed method, it is compared with six common FD signatures on a database including Farsi subwords of 4 fonts and 3 sizes. Experimental results show that the proposed method outperforms the others.","PeriodicalId":350778,"journal":{"name":"2010 6th Iranian Conference on Machine Vision and Image Processing","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 6th Iranian Conference on Machine Vision and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANMVIP.2010.5941143","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
This paper focuses on shape description for machine printed Farsi/Arabic subwords retrieval. Fourier descriptor (FD) has been used frequently for shape retrieval applications. In this paper we proposed a simple and effective FD based technique for subwords retrieval. In this method, the small number of global parameters is used to eliminate dissimilar subwords. To investigate the efficiency of the proposed method, it is compared with six common FD signatures on a database including Farsi subwords of 4 fonts and 3 sizes. Experimental results show that the proposed method outperforms the others.