Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8548
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dc.contributor.authorAyesh, Munaen_US
dc.contributor.authorMohammad, Khaderen_US
dc.contributor.authorQaroush, Azizen_US
dc.contributor.authorAgaian, Sosen_US
dc.contributor.authorWashha, Mahdien_US
dc.date.accessioned2024-01-20T09:18:11Z-
dc.date.available2024-01-20T09:18:11Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/8548-
dc.description.abstractLine segmentation performs a significant stage in the OCR systems; it has a direct effect on the character segmentation stage which affects the recognition rate. In this paper a robust algorithm is proposed for line segmentation for Arabic printed text system with and without diacritics based on finding the global maximum peak and the baseline detection. The algorithm is tested for different font sizes and types and results have been obtained from testing 5 types of fonts with total of 43,055 lines with 99.9 % accuracy for text without diacritics and 99.5% accuracy for text with diacritics.en_US
dc.language.isoen_USen_US
dc.subjectOptical character recognitionen_US
dc.subjectArabic language—Diacriticsen_US
dc.subjectCharacter sets (Data processing)en_US
dc.titleA Robust Line Segmentation Algorithm for Arabic Printed Text with Diacriticsen_US
dc.typeArticleen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
item.languageiso639-1other-
item.grantfulltextopen-
item.fulltextWith Fulltext-
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