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A Method to Generate Synthetically Warped Document Image

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Computer Vision and Image Processing (CVIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1147))

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Abstract

The digital camera captured document images may often be warped and distorted due to different camera angles or document surfaces. A robust technique is needed to solve this kind of distortion. The research on dewarping of the document suffers due to the limited availability of benchmark public dataset. In recent times, deep learning based approaches are used to solve the problems accurately. To train most of the deep neural networks a large number of document images is required and generating such a large volume of document images manually is difficult. In this paper, we propose a technique to generate a synthetic warped image from a flat-bedded scanned document image. It is done by calculating warping factors for each pixel position using two warping position parameters (WPP) and eight warping control parameters (WCP). These parameters can be specified as needed depending upon the desired warping. The results are compared with similar real captured images both qualitative and quantitative way.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Sciences and Technology, Shibpur, Howrah, 711103, West Bengal, India

    Arpan Garai, Samit Biswas & Sekhar Mandal

  2. Techno India University, Kolkata, India

    Bidyut B. Chaudhuri

  3. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

Authors
  1. Arpan Garai
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  2. Samit Biswas
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  3. Sekhar Mandal
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  4. Bidyut B. Chaudhuri
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Corresponding author

Correspondence to Arpan Garai .

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Editors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Neeta Nain

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Santosh Kumar Vipparthi

  3. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Garai, A., Biswas, S., Mandal, S., Chaudhuri, B.B. (2020). A Method to Generate Synthetically Warped Document Image. In: Nain, N., Vipparthi, S., Raman, B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1147. Springer, Singapore. https://doi.org/10.1007/978-981-15-4015-8_24

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  • DOI: https://doi.org/10.1007/978-981-15-4015-8_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4014-1

  • Online ISBN: 978-981-15-4015-8

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