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Tifinagh Handwritten Character Recognition Using Machine Learning Algorithms

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 637))

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Abstract

The Amazigh people are an indigenous ethnic group of North Africa. They are distributed from morocco, to Siwa Oasis in Egypt passing by Algeria, Tunisia, Libya, Niger, Burkina Faso, Mali, Mauritania. Historically, they spoke Amazigh languages, classified under the Amazigh branch of the Afro-Asiatic family. The Tifinagh is the alphabet of this language, it’s normalized in morocco since 2001. In our work we will propose a model to treat the Handwritten Tifinagh Character Recognition and then apply different algorithms of machine learning to identify which one achieve the better accuracy.

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Author information

Authors and Affiliations

  1. Computer Science Department, Faculty of Sciences, Chouaib Doukkali University, El Jadida, Morocco

    Rajaa Sliman

  2. Computer Science Department, Chouaib Doukkali University, El Jadida, Morocco

    Ahmed Azouaoui

Authors
  1. Rajaa Sliman
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  2. Ahmed Azouaoui
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Corresponding author

Correspondence to Rajaa Sliman .

Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Sliman, R., Azouaoui, A. (2023). Tifinagh Handwritten Character Recognition Using Machine Learning Algorithms. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-031-26384-2_3

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