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Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015 pp 211–219Cite as

Visual Analytic-Based Technique for Handwritten Indic Script Identification—A Greedy Heuristic Feature Fusion Framework

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 404))

Abstract

Script identification from multi-script handwritten document images has been a subject of considerable discussion in the literature. In this paper, a novel feature fusion framework (FFF) using structural appearance (SA) and directional morphological filter (DMF) is proposed based on the idea of visual analytic (VA). A dataset of 181 handwritten document pages distributed over 2450 line and 20,260 word images of Bangla, Devanagari, Roman, Oriya, and Urdu scripts is built and considered for experimentation. Experimental result shows a significant improvement of the identification rate by the VA-FFF over the SA and DMF technique if they had been applied individually.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Aliah University, Kolkata, West Bengal, India

    Sk. Md. Obaidullah

  2. Department of Computer Science, West Bengal State University, Kolkata, West Bengal, India

    Chayan Halder & Kaushik Roy

  3. Department of Computer Science & Engineering, Jadavpur University, Kolkata, West Bengal, India

    Nibaran Das

Authors
  1. Sk. Md. Obaidullah
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  2. Chayan Halder
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  3. Nibaran Das
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  4. Kaushik Roy
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Corresponding author

Correspondence to Sk. Md. Obaidullah .

Editor information

Editors and Affiliations

  1. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  2. Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Tandra Pal

  3. National Institute of Technology, Durgapur, West Bengal, India

    Samarjit Kar

  4. Deparment of CSE, Anil Neerukonda Ins. of Tech. & Sci., Vishakapatnam, India

    Suresh Chandra Satapathy

  5. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

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Obaidullah, S.M., Halder, C., Das, N., Roy, K. (2016). Visual Analytic-Based Technique for Handwritten Indic Script Identification—A Greedy Heuristic Feature Fusion Framework. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_19

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  • DOI: https://doi.org/10.1007/978-81-322-2695-6_19

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2693-2

  • Online ISBN: 978-81-322-2695-6

  • eBook Packages: EngineeringEngineering (R0)

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