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A New Fuzzy Character Segmentation Algorithm for Persian / Arabic Typed Texts

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Computational Intelligence (Fuzzy Days 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1625))

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Abstract

This paper introduces a new off-line fuzzy segmentation algorithm to separate cursive Persian / Arabic typed texts. Precise boundary detection of typed characters is the main feature of the proposed method. The method is applied into some sample texts. The simulation results are very promising indicating 95% error free segmentation performance.

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References

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Author information

Authors and Affiliations

  1. Electrical Engineering Department of Amirkabir, University of Technology, Hafez Ave. No.424, Tehran, 15914, Iran

    Mohammad Bagher Menhaj & Farbod Razzazi

Authors
  1. Mohammad Bagher Menhaj
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  2. Farbod Razzazi
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, D-44221, Dortmund, Germany

    Bernd Reusch

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© 1999 Springer-Verlag Berlin Heidelberg

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Menhaj, M.B., Razzazi, F. (1999). A New Fuzzy Character Segmentation Algorithm for Persian / Arabic Typed Texts. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_18

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  • DOI: https://doi.org/10.1007/3-540-48774-3_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66050-7

  • Online ISBN: 978-3-540-48774-6

  • eBook Packages: Springer Book Archive

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