Efficient Arabic Handwritten Character Recognition based on Machine Learning and Deep Learning Approaches

Said Gadri

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.

Volume 12 | 07-Special Issue

Pages: 9-17

DOI: 10.5373/JARDCS/V12SP7/20202076