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A Comparative Study of Different Approaches of Noise Removal for Document Images

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Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

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Abstract

There has been intensive research carried out in the field of OCR (Optical Character Recognition). Lots of work has been done and articles have been published. Noise is one of the important factors which have to be handled at the stage of preprocessing before applying other steps of OCR systems. Noise is undesirable signal because it obscures the subject of the image. This paper presents the comparative study of the five noise removal approaches: Weiner, Median, Wavelet, Contourlet, and Curvelet for document images. The different approaches of noise removal were compared visually and by employing Peak Signal to Noise Ratio (PSNR), F-measure and NRM evaluation measures.

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Authors and Affiliations

  1. Research Cell, College of Engineering Roorkee, Roorkee, India

    Brijmohan Singh, Vivek Chand & D. Ghosh

  2. Graphic Era University, Dehradun, India, 248002

    Ankush Mittal

  3. IIT Roorkee, Roorkee, India

    Mridula

Authors
  1. Brijmohan Singh
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  2. Mridula
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  3. Vivek Chand
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  4. Ankush Mittal
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  5. D. Ghosh
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Corresponding author

Correspondence to Brijmohan Singh .

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Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

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Singh, B., Mridula, Chand, V., Mittal, A., Ghosh, D. (2012). A Comparative Study of Different Approaches of Noise Removal for Document Images. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_80

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_80

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

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