A new System for offline Printed Arabic Recognition for Large Vocabulary : SPARLV

dc.contributor.authorDhouib, Mariem Miledi
dc.contributor.authorKanoun, Slim
dc.date.accessioned2011-01-12T16:16:45Z
dc.date.available2011-01-12T16:16:45Z
dc.date.issued2011-01-12
dc.description.abstractThis paper presents a contribution for the Arabic printed recognition. In fact, we are interested in the printed decomposable Arabic word recognition. The proposed system uses the analytical approach through the segmentation into characters to succeed to a generation of letter hypotheses as well as word hypotheses using a lexical verification in a pre-established dictionary of the language. Our proposed system SPARLV is able to put valid hypotheses of words thanks to the lexical verification.en
dc.identifier.urihttp://hdl.handle.net/2003/27559
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-441
dc.language.isoen
dc.relation.ispartofFirst International Workshop on Frontiers in Arabic Handwritng Recognition, 2010en
dc.subjectAnalytical Approachen
dc.subjectArabic recognitionen
dc.subjectdecomposable wordsen
dc.subjectDictionary of the languageen
dc.subjectlexical verificationen
dc.subject.ddc004
dc.titleA new System for offline Printed Arabic Recognition for Large Vocabulary : SPARLVen
dc.typeText
dc.type.publicationtypeconferenceObject
dcterms.accessRightsopen access

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Dhouib.pdf
Size:
135.48 KB
Format:
Adobe Portable Document Format
Description:
DNB
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.85 KB
Format:
Item-specific license agreed upon to submission
Description: