Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/395018
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dc.contributor.authorAbdurazzag Ali Aburas-
dc.contributor.authorMohamed E. Gumah-
dc.date.accessioned2023-06-15T07:53:47Z-
dc.date.available2023-06-15T07:53:47Z-
dc.identifier.otherukmvital:122728-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/395018-
dc.description.abstractOptical Characters Recognition (OCR) is one of the active subjects of research since the early days of computer science. Even if Arabic characters are used by more than a half a billion people; Arabic characters recognition has not received enough interests by the researchers. Little research progress has been achieved comparing to what has been done with Latin and Chinese. The cursive nature of the Arabic characters makes it more difficult to achieve a high accuracy in character recognition since even printed Arabic characters are in cursive form. This paper presents the main challenges (difficulties) researchers are facing and up to dated solutions (the common methods) are used for Arabic text recognition.-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE),Piscataway, US-
dc.subjectArabic handwriting-
dc.titleArabic handwriting recognition: challenges and solutions-
dc.typeSeminar Papers-
dc.format.pages6-
dc.contributor.conferencenameInternational Symposium on Information Technology-
dc.coverage.conferencelocationKuala Lumpur Convention Centre-
dc.date.conferencedate26/08/2008-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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