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

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Intelligent Systems Design and Applications (ISDA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 716))

Abstract

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.

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Author information

Authors and Affiliations

  1. Higher Institute of Industrial Management (ISGIS), University of Sfax, Sfax, Tunisia

    Anis Mezghani

  2. National School of Computer Science (ENSI), University of Manouba, Manouba, Tunisia

    Mohamed Elleuch

  3. Faculty of Sciences, University of Sfax, Sfax, Tunisia

    Mohamed Elleuch & Monji Kherallah

Authors
  1. Anis Mezghani
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  2. Mohamed Elleuch
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  3. Monji Kherallah
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Corresponding author

Correspondence to Mohamed Elleuch .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, FLAME University, Pune, Maharashtra, India

    Ajith Abraham

  2. Center for Smart Computing Continuum, Burgenland, Austria

    Sabri Pllana

  3. University of Bari, Bari, Italy

    Gabriella Casalino

  4. University of Jinan, Jinan, Shandong, China

    Kun Ma

  5. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

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Mezghani, A., Elleuch, M., Kherallah, M. (2023). DL vs. Traditional ML Algorithms to Recognize Arabic Handwriting Script: A Review. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-031-35501-1_41

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