Efficient Arabic Handwritten Character Recognition based on Machine Learning and Deep Learning Approaches
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Date
2020
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Publisher
Université de M'sila
Abstract
Arabic Handwritten character recognition is one of the most studied topics since many decades, there
exists many difficulties which prevent to have significant advances in this important field such as: the variability of
handwriting from a person to another, the large availability of databases, the complicated morphology of Arabic as a
very rich Semitic language. In this paper, we proposed a deep learning model based on convolutional neural
networks CNN which permits to achieve a high performance in Arabic handwritten characters recognition.
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Keywords
AI, Machine Learning, Deep Learning, Arabic Character Recognition, Convolutional Neural Networks.