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Recognizing Arabic Handwritten Literal Amount Using Convolutional Neural Networks

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Artificial Intelligence and Its Applications (AIAP 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 413))

Abstract

Currently, deep learning techniques have become the core of recent research in pattern recognition domain and especially for the handwriting recognition field where the challenges for the Arabic language are stilling. Despite their high importance and performances, for the best of our acknowledge, deep learning techniques have not been investigated in the context of Arabic handwritten literal amount recognition. The main aim of this paper is to investigate the effect of several Convolutional Neural Networks CNNs based on the proposed architecture with regularization parameters for such context. To achieve this aim, the AHDB database was used where very promising results were obtained outperforming the previous works on this database.

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Author information

Authors and Affiliations

  1. LINFI Laboratory, University of Mohammed Khider Biskra, Biskra, Algeria

    Aicha Korichi & Sihem Slatnia

  2. The Higher Institute of Computer Science and Multimedia of Sfax, Sakiet Ezzit, Tunisia

    Najiba Tagougui

  3. Faculty of Science of Sfax, Sfax, Tunisia

    Ramzi Zouari & Monji Kherallah

  4. Department of Computer Science, University of Kasdi Merbah Ouargla, Ouargla, Algeria

    Oussama Aiadi

Authors
  1. Aicha Korichi
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  2. Sihem Slatnia
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  3. Najiba Tagougui
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  4. Ramzi Zouari
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  5. Monji Kherallah
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  6. Oussama Aiadi
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Corresponding author

Correspondence to Aicha Korichi .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Echahid Hamma Lakhdar, El-Oued, Algeria

    Brahim Lejdel

  2. Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy

    Eliseo Clementini

  3. Department of Computer Science, Umm Al-Qura University, Makkah, Saudi Arabia

    Louai Alarabi

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Korichi, A., Slatnia, S., Tagougui, N., Zouari, R., Kherallah, M., Aiadi, O. (2022). Recognizing Arabic Handwritten Literal Amount Using Convolutional Neural Networks. In: Lejdel, B., Clementini, E., Alarabi, L. (eds) Artificial Intelligence and Its Applications. AIAP 2021. Lecture Notes in Networks and Systems, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-030-96311-8_15

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