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dc.contributor.authorHassina, Bouressace
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-23T06:45:12Z
dc.date.available2019-10-23T06:45:12Z
dc.date.issued2019
dc.identifier.citationWSCG 2019: Short and Poster papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p.45-50.en
dc.identifier.isbn978-80-86943-38-1 (CD/-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464-4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/35633
dc.format6 s.cs
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectarabštinacs
dc.subjectprojekční profilcs
dc.subjectsegmentace textového řádkucs
dc.subjectpřipojené komponentycs
dc.titleTitle Segmentation in Arabic Document Pagesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedRecent studies on text line segmentation have not focused on title segmentation in complex structure documents, which may represent the upper rows in each article of a document page. Many methods cannot correctly distinguish between the titles and the text, especially when it contains more than one title. In this paper, we discuss this problem and then present a straightforward and robust title segmentation approach. The proposed method was tested on PATD (Printed Arabic Text Database ) images and we achieved good results.en
dc.subject.translatedarabic languageen
dc.subject.translatedprojection profileen
dc.subject.translatedtext-line segmentationen
dc.subject.translatedconnected componentsen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2019.2902.2.6
dc.type.statusPeer-revieweden
Appears in Collections:WSCG '2019: Short Papers Proceedings

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