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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Isfahan University of Technology</PublisherName>
				<JournalTitle>Journal of Computational Methods in Engineering</JournalTitle>
				<Issn>2228-7698</Issn>
				<Volume>23</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Modified Character Segmentation Algorithm for Farsi Printed Text Using Upper Contour Labelling</ArticleTitle>
<VernacularTitle>A Modified Character Segmentation Algorithm for Farsi Printed Text Using Upper Contour Labelling</VernacularTitle>
			<FirstPage>33</FirstPage>
			<LastPage>48</LastPage>
			<ELocationID EIdType="pii">2856</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName></FirstName>
					<LastName>H. Nezamabadi-Pour</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName></FirstName>
					<LastName>E. Kabir And R. Azmi</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various  modifications on local baseline detection, contour labeling and segmentation rules have been applied. In an experiment, the correct segmentation rate was 97%. Based on the results obtained, a detailed error analysis is presented which should be useful for furthur research on this topic.</Abstract>
			<OtherAbstract Language="FA">In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various  modifications on local baseline detection, contour labeling and segmentation rules have been applied. In an experiment, the correct segmentation rate was 97%. Based on the results obtained, a detailed error analysis is presented which should be useful for furthur research on this topic.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Character Segmentation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Farsi Printed text</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Local baseline</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Upper contour</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Histogram</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Segmental code</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Labeling</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcme.iut.ac.ir/article_2856_1397386b7a1507535c59764a15ee0c98.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
