DL vs. Traditional ML Algorithms to Recognize Arabic Handwriting Script: A Review.

Handwriting Arabic script recognition has become a popular area of research. A survey of such techniques proves to be more necessary. This paper is practically interested in a bibliographic study on the existing recognition systems in an attempt to motivate researchers to look into these techniques and try to develop more advanced ones. It presents a comparative study achieved on certain techniques of handwritten character recognition. In this study, first, we show the difference between different approaches of recognition: deep learning methods vs. holistic and analytic. Then, we present a category of the main techniques used in the field of handwriting recognition and we cite examples of proposed methods.