Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Elzobi, Moftah | |
dc.contributor.author | Al-Hamadi, Ayoub | |
dc.contributor.author | Al Aghbari, Zaher | |
dc.contributor.editor | Baranoski, Gladimir | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2014-03-20T12:13:13Z | |
dc.date.available | 2014-03-20T12:13:13Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | WSCG '2011: Communication Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 135-142. | en |
dc.identifier.isbn | 978-80-86943-82-4 | |
dc.identifier.uri | http://wscg.zcu.cz/WSCG2011/!_2011_WSCG-Short_Papers.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/10841 | |
dc.description.abstract | A precise and efficient segmentation for handwritten Arabic text is a vital prerequisite for the accuracy of the subsequent recognition phase. In this paper, we present a dualphase segmentation approach. The proposed approach starts first by detecting and resolving sub-words overlapping, then a topological features based segmentation is applied by means of a set of heuristic rules. Because of its crucial importance, the segmentation phase is preceded by a handwritten specific preprocessing phase, that considers issues like word’s skew- and slant- correction. The proposed approach has been successfully tested on a database of handwritten Arabic words, that contains more than 3000 words images. The results were very promising and indicating the efficiency of our approach. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | WSCG '2011: Communication Papers Proceedings | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | arabské ruční písmo | cs |
dc.subject | segmentace obrazu | cs |
dc.subject | rozpoznávání vzorů | cs |
dc.subject | topologické znaky | cs |
dc.title | Off-line Handwritten Arabic Words Segmentation Based on Structural Features and Connected Components Analysis | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | arabic handwriting | en |
dc.subject.translated | image segmentation | en |
dc.subject.translated | pattern recognition | en |
dc.subject.translated | topological features | en |
dc.type.status | Peer-reviewed | en |
dc.type.driver | info:eu-repo/semantics/conferenceObject | en |
dc.type.driver | info:eu-repo/semantics/publishedVersion | en |
Vyskytuje se v kolekcích: | WSCG '2011: Communication Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Elzobi.pdf | Plný text | 634,46 kB | Adobe PDF | Zobrazit/otevřít |
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http://hdl.handle.net/11025/10841
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