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Computational Intelligence in Data Mining - Volume 2 pp 449–460Cite as

CALAM: Linguistic Structure to Annotate Handwritten Text Image Corpus

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 32))

Abstract

In this paper, we report our effort in building a multi linguistic structure Cursive and Language Adaptive Methodology (CALAM) to create, annotate and validate linguistic dataset. CALAM provides a way for fetching and retrieval of information in a scientific and systematic manner through design and development of an annotated corpus of handwritten text image. It is a useful tool to annotate multi-lingual handwritten image dataset (Hindi, English, and Urdu etc.). The annotation is not limited with the grammatical tagging, but structural markup is also done. Annotation of handwritten text image is done in a hierarchical manner starting from handwritten form to segmented lines, words, and components. The component level markup is useful for finding strokes and list of ligatures in Urdu language. Along with a hierarchical access structure, CALAM provides the functionalities of Indexing, Insertion, Searching and Deletion of words and phrases in handwritten form. Apart from dataset fetching and retrieval it also automatically generates XML tagged file for each annotated handwritten text image for all dataset.

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Acknowledgments

This work is financially supported by Department of Science and Technology, Government of Rajasthan.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Manipur, Imphal, India

    Prakash Choudhary

  2. Department of Computer Engineering, Malaviya National Institute of Technology, Jaipur, Jaipur, India

    Neeta Nain

Authors
  1. Prakash Choudhary
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  2. Neeta Nain
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Corresponding author

Correspondence to Prakash Choudhary .

Editor information

Editors and Affiliations

  1. University of Canberra, Canberra, Australia and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

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Choudhary, P., Nain, N. (2015). CALAM: Linguistic Structure to Annotate Handwritten Text Image Corpus. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 2. Smart Innovation, Systems and Technologies, vol 32. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2208-8_41

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  • DOI: https://doi.org/10.1007/978-81-322-2208-8_41

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2207-1

  • Online ISBN: 978-81-322-2208-8

  • eBook Packages: EngineeringEngineering (R0)

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