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Arabic Bank Check Analysis and Zone Extraction

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Image Analysis and Recognition (ICIAR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7324))

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Abstract

Bank check processing is an important application of document analysis as checks are one of the most widespread documents. In this paper we propose an efficient and effective top-down Arabic check analysis and zone extraction technique for courtesy amount, legal amount, and the date fields. Our technique uses available information and performs adaptive local processing using projections and connected component analysis. We tested our technique on real Arabic check images of CENPARMI Arabic check database. The result outperforms previous published results of zone extraction on this dataset.

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Author information

Authors and Affiliations

  1. Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia

    Irfan Ahmad & Sabri A. Mahmoud

Authors
  1. Irfan Ahmad
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  2. Sabri A. Mahmoud
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Editor information

Editors and Affiliations

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

    Aurélio Campilho

  2. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel

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© 2012 Springer-Verlag Berlin Heidelberg

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Ahmad, I., Mahmoud, S.A. (2012). Arabic Bank Check Analysis and Zone Extraction. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31295-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-31295-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31294-6

  • Online ISBN: 978-3-642-31295-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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