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International Conference on Big Data, Cloud and Applications

BDCA 2018: Big Data, Cloud and Applications pp 512–522Cite as

Effect of the Sub-graphemes’ Size on the Performance of Off-Line Arabic Writer Identification

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 872))

Abstract

In this paper, we address the issue of writer identification related to Arabic handwritten text using the approach of small fragments. The main contribution of this work is the analysis conducted about the impact of the window’s size of small fragments on the effectiveness of the Arabic writer identification. The proposed system is evaluated according to three scenarios applied on 40 writers from the Arabic IFN/ENIT database through the use of similarity measures. The experiments are conducted by varying the size of the segmentation window allowing us to conclude that the fragments’ size affects considerably the results of Arabic writer identification.

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Author information

Authors and Affiliations

  1. Ibn Tofail University, Kenitra, Morocco

    Nabil Bendaoud, Yaâcoub Hannad, Abdelillah Samaa & Mohamed El Youssfi El Kettani

Authors
  1. Nabil Bendaoud
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  2. Yaâcoub Hannad
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  3. Abdelillah Samaa
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  4. Mohamed El Youssfi El Kettani
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Corresponding author

Correspondence to Nabil Bendaoud .

Editor information

Editors and Affiliations

  1. Abdelmalek Essaâdi University, Tétouan, Morocco

    Youness Tabii

  2. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohamed Lazaar

  3. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohammed Al Achhab

  4. Université Ibn-Tofail, Tétouan, Morocco

    Nourddine Enneya

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Bendaoud, N., Hannad, Y., Samaa, A., El Kettani, M.E.Y. (2018). Effect of the Sub-graphemes’ Size on the Performance of Off-Line Arabic Writer Identification. In: Tabii, Y., Lazaar, M., Al Achhab, M., Enneya, N. (eds) Big Data, Cloud and Applications. BDCA 2018. Communications in Computer and Information Science, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-319-96292-4_40

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  • DOI: https://doi.org/10.1007/978-3-319-96292-4_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96291-7

  • Online ISBN: 978-3-319-96292-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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