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.