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Document Image Segmentation for Kannada Script Using Zone Based Projection Profiles

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Mobile Communication and Power Engineering (AIM 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 296))

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Abstract

In Kannada document image analysis, the document segmentation into individual lines, words and characters poses many challenges. The aksharas of Kannada language are formed by combination of glyphs of consonant, consonant conjuncts and vowel modifiers; therefore a lot variation in widths and heights of aksharas can be observed. Moreover an akshara is composed of two or more disconnected components. The consonant conjuncts pose more problems as they occasionally overlap with next line or next character. In this research we have proposed a Kannada document segmentation method using zone based projection profiles. The experiments are conducted on several scanned Kannada document with different fonts and character segmentation rate of 99.2% and consonant conjunct segmentation rate of 92.73% on an average is observed.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, MIT, Manipal, India

    Siddhaling Urolagin

  2. Mody Institute of Technology and Science, Rajastan, India

    K. V. Prema

  3. Dept. of E&C, MIT, Manipal, India

    N. V. Subba Reddy

Authors
  1. Siddhaling Urolagin
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  2. K. V. Prema
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  3. N. V. Subba Reddy
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Editor information

Editors and Affiliations

  1. Institute of Doctors Engineering and Scientist, Amsterdam, The Netherlands

    Vinu V Das

  2. Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India

    Yogesh Chaba

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© 2013 Springer-Verlag Berlin Heidelberg

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Urolagin, S., Prema, K.V., Subba Reddy, N.V. (2013). Document Image Segmentation for Kannada Script Using Zone Based Projection Profiles. In: Das, V.V., Chaba, Y. (eds) Mobile Communication and Power Engineering. AIM 2012. Communications in Computer and Information Science, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35864-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-35864-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35863-0

  • Online ISBN: 978-3-642-35864-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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