Said Gadri2021-05-312021-05-312020https://dspace.univ-msila.dz/handle/123456789/24331Arabic 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.AI, Machine Learning, Deep Learning, Arabic Character Recognition, Convolutional Neural Networks.Article