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Segmentation of Printed Arabic Text

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2013))

Abstract

This paper proposes a new technique to segment Printed Arabic words into characters using Explicit Segmentation. The technique can be divided into several steps: (1) Digitization and preprocessing (2) binary tree construction; and (3) Segmentation. The advantage of this technique is that its execution does depend on either the font or size of character.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Amin, A. (2001). Segmentation of Printed Arabic Text. In: Singh, S., Murshed, N., Kropatsch, W. (eds) Advances in Pattern Recognition — ICAPR 2001. ICAPR 2001. Lecture Notes in Computer Science, vol 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44732-6_12

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  • DOI: https://doi.org/10.1007/3-540-44732-6_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41767-5

  • Online ISBN: 978-3-540-44732-0

  • eBook Packages: Springer Book Archive

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