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In this study, first, we show the difference between different recognition approaches: deep learning vs machine learning. Secondly, a description of the Arabic handwriting recognition process regrouping pre-processing, feature extraction and segmentation was presented. Then, we illustrate the main techniques used in the field of handwriting recognition and we make a synthesis of these methods.<\/jats:p>","DOI":"10.3233\/his-230005","type":"journal-article","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T17:05:49Z","timestamp":1685725549000},"page":"61-78","source":"Crossref","is-referenced-by-count":4,"title":["Recent advances of ML and DL approaches for Arabic handwriting recognition: A review"],"prefix":"10.1177","volume":"19","author":[{"given":"Anis","family":"Mezghani","sequence":"first","affiliation":[{"name":"Higher Institute of Industrial Management (ISGIS), University of Sfax, Sfax, Tunisia"}]},{"given":"Rania","family":"Maalej","sequence":"additional","affiliation":[{"name":"Medical School of Sfax, University of Sfax, Sfax, Tunisia"}]},{"given":"Mohamed","family":"Elleuch","sequence":"additional","affiliation":[{"name":"National School of Computer Science (ENSI), University of Manouba, Tunis, Tunisia"},{"name":"Faculty of Sciences, University of Sfax, Sfax, Tunisia"}]},{"given":"Monji","family":"Kherallah","sequence":"additional","affiliation":[{"name":"Faculty of Sciences, University of Sfax, Sfax, Tunisia"}]}],"member":"179","reference":[{"key":"10.3233\/HIS-230005_ref2","doi-asserted-by":"crossref","unstructured":"A. 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