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Arabic Font Recognition Based on Discret Curvelet Transform

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Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016 (AECIA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 565))

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Abstract

There are many difficulties for Arabic text recognition systems to deal with multi-font and multi-size word/text line images. Some Arabic font families introduce complex variability such as overlaps and ligatures. In this case, developing a cascading system (font recognition followed by font dependent text recognition) has become a necessity. In this paper, we have presented a new font recognition system based on curvelet transform.

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Author information

Authors and Affiliations

  1. REGIM Laboratory, National School of Engineers (ENIS), University of Sfax, Sfax, Tunisia

    Faten Kallel & Anis Mezghani

  2. MIRACL Laboratory, ISIMS, University of Sfax, Sfax, Tunisia

    Slim Kanoun

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

    Monji Kherallah

Authors
  1. Faten Kallel
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  2. Anis Mezghani
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  3. Slim Kanoun
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  4. Monji Kherallah
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Corresponding author

Correspondence to Monji Kherallah .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Department of Mathematics and Computer, Faculty of Sciences and Techniques, Settat, Morocco

    Abdelkrim Haqiq

  3. Information Technology Department, Faculty of Computers and Information, Giza, Egypt

    Aboul Ella Hassanien

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

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Kallel, F., Mezghani, A., Kanoun, S., Kherallah, M. (2018). Arabic Font Recognition Based on Discret Curvelet Transform. In: Abraham, A., Haqiq, A., Ella Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016. AECIA 2016. Advances in Intelligent Systems and Computing, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-60834-1_36

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  • DOI: https://doi.org/10.1007/978-3-319-60834-1_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60833-4

  • Online ISBN: 978-3-319-60834-1

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