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MultiDIAS: A Hierarchical Multi-layered Document Image Annotation System

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Document Analysis and Recognition (DAR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1020))

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Abstract

Content of the document images are often shows hierarchical multi-layered tree structure. Further, the algorithms for document image applications like line detection, paragraph detection, word recognition, layout analysis etc. require pixel level annotation. In this paper, a Multi-layered Document Image Annotation System (MultiDIAS) has been introduced. The proposed system simultaneously provide a platform for hierarchical and pixel level annotation of document. MultiDIAS label the document image in four hierarchical layers (layout type, entity type, line type, word type) assigned by the user. The output generated are four ground-truth images and an XML file representing the metadata information. The MultiDIAS is tested on a complex handwritten manuscript written by renowned film director Satyajit Ray for the movie ‘Goopi Gyne Bagha Byne’. This annotated data generated using MultiDIAS can further be used in a wide range of applications of document image understanding and analysis.

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Acknowledgement

This research was partially supported and funded by IMPRINT, Government of India, through the research project titled “Information Access from Document Images of Indian Languages”.

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Authors and Affiliations

  1. Indian Institute of Technology Kharagpur, Kharagpur, India

    Arnab Poddar, Rohan Mukherjee, Jayanta Mukhopadhyay & Prabir Kumar Biswas

Authors
  1. Arnab Poddar
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  2. Rohan Mukherjee
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  3. Jayanta Mukhopadhyay
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  4. Prabir Kumar Biswas
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Corresponding author

Correspondence to Arnab Poddar .

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Editors and Affiliations

  1. Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    Suresh Sundaram

  2. Computer Science and Engineering, Indian Institute of Technology Jodhpur, Karwar, Rajasthan, India

    Gaurav Harit

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Poddar, A., Mukherjee, R., Mukhopadhyay, J., Biswas, P.K. (2019). MultiDIAS: A Hierarchical Multi-layered Document Image Annotation System. In: Sundaram, S., Harit, G. (eds) Document Analysis and Recognition. DAR 2018. Communications in Computer and Information Science, vol 1020. Springer, Singapore. https://doi.org/10.1007/978-981-13-9361-7_1

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  • DOI: https://doi.org/10.1007/978-981-13-9361-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9360-0

  • Online ISBN: 978-981-13-9361-7

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