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Ocr of Arabic texts

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Pattern Recognition (PAR 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 301))

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Abstract

This paper presents a method for the recognition of multi-fonts Arabic texts entered from a scanner (300 dpi). The technique for the recognition presents the following steps: digitization, line sparation, word separation, segmentation of a word into characters, indentification of each character and finally recognition of the word.

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References

  1. A. Amin, A. Kaced, J.P. Haton and R. Mohr "Handwritten Arabic Characters Recognition by the IRAC system". Proc. 5th International Conference on Pattern Recognition, Miami beach, Florida, USA, pp 729–731 (1980)

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Author information

Authors and Affiliations

  1. Mathematics Department, Kuwait University, P.O. Box 5969, 13060, Safat Kuwait

    Adnan Amin

Authors
  1. Adnan Amin
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Editor information

J. Kittler

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© 1988 Springer-Verlag Berlin Heidelberg

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Cite this paper

Amin, A. (1988). Ocr of Arabic texts. In: Kittler, J. (eds) Pattern Recognition. PAR 1988. Lecture Notes in Computer Science, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19036-8_62

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  • DOI: https://doi.org/10.1007/3-540-19036-8_62

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19036-3

  • Online ISBN: 978-3-540-38947-7

  • eBook Packages: Springer Book Archive

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