![]() ![]() Paper proposes a neural network model for the character recognition task. That outperforms the state-of-the-art segmentation algorithms. This paperĪlso proposes an improved font-independent character segmentation algorithm Of the following modules: Pre-processing, Word-level Feature Extraction,Ĭharacter Segmentation, Character Recognition, and Post-processing. ![]() This paper proposes a completeĪrabic OCR system that takes a scanned image of Arabic Naskh script as an inputĪnd generates a corresponding digital document. Overlapping letters such as the Arabic language. In many languages, they still have shortcomings in cursive languages with Authors: Hussein Osman, Karim Zaghw, Mostafa Hazem, Seifeldin Elsehely Download PDF Abstract: Optical Character Recognition (OCR) is the process of extracting digitized
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