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Data Engineering and Intelligent Computing pp 227–235Cite as

Glyph Segmentation for Offline Handwritten Telugu Characters

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

Segmentation plays a crucial role in the recognition of offline handwritten characters from the digitized document images. In this paper, the authors propose the glyph segmentation method for offline handwritten Telugu characters. This method efficiently segments the top vowel ligature glyph, main glyph, bottom vowel ligature glyph and consonant conjunct glyph from the offline handwritten Telugu character images. It efficiently identifies the small glyphs that are related to the unconnected main glyphs or consonant conjuncts and also efficiently segments the connected top vowel ligature from the main glyph. This approach of segmentation efficiently reduces the train data size for the purpose of offline handwritten Telugu characters recognition system. The result shows the efficiency of proposed method.

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Author information

Authors and Affiliations

  1. Krishna University, Machilipatnam, Andhra Pradesh, India

    C. Naga Manisha & Y. K. Sundara Krishna

  2. Acharya Nagarjuna University, Guntur, Andhra Pradesh, India

    E. Sreenivasa Reddy

Authors
  1. C. Naga Manisha
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  2. Y. K. Sundara Krishna
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  3. E. Sreenivasa Reddy
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Corresponding author

Correspondence to C. Naga Manisha .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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© 2018 Springer Nature Singapore Pte Ltd.

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Naga Manisha, C., Sundara Krishna, Y.K., Sreenivasa Reddy, E. (2018). Glyph Segmentation for Offline Handwritten Telugu Characters. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_21

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

  • eBook Packages: EngineeringEngineering (R0)

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