Holy Quran Arabic Character Recognition using Neural Networks
Abstract
Arabic text recognition is one of the most important fields of optical character recognition for Arabic people. Arabic text recognition consider of converting an image of Arabic text into editable format such as doc or pdf. One of its branches is holy Quran text recognition. The key aim of this research is to develop Quran Arabic Recognition System. The study recognises the Arabic text (character) individually . In addition, this study will use Back propagation neural networks for character recognitions. Because of the nature of holy quran the rate of recognition must by extremely high.
Keywords: text recognition, Arabic text recognition, quran text recognition neural networks,
DOI: 10.7176/IKM/13-3-05
Publication date:May 31st 2023
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ISSN (Paper)2224-5758 ISSN (Online)2224-896X
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