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Efficient Removal of Noisy Borders of Monochromatic Documents

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Image Analysis and Recognition (ICIAR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5627))

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Abstract

Very often the digitalization process using automatically fed production line scanners yields monochromatic images framed by a noisy border. This paper presents a pre-processing scheme based on sub sampling which speeds up the border removal process. The technique introduced was tested on over 20,000 images and provided same quality images than the best algorithm in the literature and amongst commercial tools with an average speed-up around 50%.

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Author information

Authors and Affiliations

  1. Universidade Federal de Pernambuco, Recife, PE, Brazil

    Andrei de Araújo Formiga & Rafael Dueire Lins

Authors
  1. Andrei de Araújo Formiga
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  2. Rafael Dueire Lins
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2009 Springer-Verlag Berlin Heidelberg

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de Araújo Formiga, A., Lins, R.D. (2009). Efficient Removal of Noisy Borders of Monochromatic Documents. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-02611-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02610-2

  • Online ISBN: 978-3-642-02611-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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