Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/8548
Title: A Robust Line Segmentation Algorithm for Arabic Printed Text with Diacritics
Authors: Ayesh, Muna 
Mohammad, Khader 
Qaroush, Aziz 
Agaian, Sos 
Washha, Mahdi 
Keywords: Optical character recognition;Arabic language—Diacritics;Character sets (Data processing)
Issue Date: 2017
Abstract: Line 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.
URI: http://hdl.handle.net/20.500.11889/8548
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