Title: Title Segmentation in Arabic Document Pages
Authors: Hassina, Bouressace
Citation: WSCG 2019: Short and Poster papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p.45-50.
Issue Date: 2019
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://hdl.handle.net/11025/35633
ISBN: 978-80-86943-38-1 (CD/-ROM)
ISSN: 2464–4617 (print)
2464-4625 (CD/DVD)
Keywords: arabština;projekční profil;segmentace textového řádku;připojené komponenty
Keywords in different language: arabic language;projection profile;text-line segmentation;connected components
Abstract in different language: Recent 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.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2019: Short Papers Proceedings

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