Arabic Handwriting Synthesis

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dc.contributor.authorAl-Muhtaseb, Husni
dc.contributor.authorElarian, Yousef
dc.contributor.authorGhouti, Lahouari
dc.date.accessioned2011-01-12T16:19:32Z
dc.date.available2011-01-12T16:19:32Z
dc.date.issued2011-01-12
dc.description.abstractTraining and testing data for optical character recognition are cumbersome to obtain. If large amounts of data can be produced from small amounts, much time and effort can be saved. This paper presents an approach to synthesize Arabic handwriting. We segment word images into labeled characters and then use these in synthesizing arbitrary words. The synthesized text should look natural; hence, we define some criteria to decide on what is acceptable as natural-looking. The text that is synthesized by using the natural-looking constrain is compared to text that is synthesized without using the natural-looking constrain for evaluation.en
dc.identifier.urihttp://hdl.handle.net/2003/27562
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14506
dc.language.isoen
dc.relation.ispartofFirst International Workshop on Frontiers in Arabic Handwritng Recognition, 2010en
dc.subjecthandwriting generationen
dc.subjectOCRen
dc.subjectsynthesisen
dc.subjectwriter identificationen
dc.subject.ddc004
dc.titleArabic Handwriting Synthesisen
dc.typeText
dc.type.publicationtypeconferenceObject
dcterms.accessRightsopen access

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2010 - First International Workshop on Frontiers in Arabic Handwriting Recognition