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Title
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Arabic Text Recognition with Harakat Using Deep Learning
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Author
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Ashwag Maghraby, Esraa Samkari
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Citation |
Vol. 23 No. 1 pp. 41-45
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Abstract
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Because of the significant role that harakat plays in Arabic text, this paper used deep learning to extract Arabic text with its harakat from an image. Convolutional neural networks and recurrent neural network algorithms were applied to the dataset, which contained 110 images, each representing one word. The results showed the ability to extract some letters with harakat.
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Keywords
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Arabic, deep learning, harakat, neural network, text recognition.
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URL
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http://paper.ijcsns.org/07_book/202301/20230106.pdf
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