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Information extraction from a skewed form document in the presence of crossing characters

  • Form Processing
  • Conference paper
  • First Online:
Graphics Recognition Algorithms and Systems (GREC 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1389))

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Abstract

In this paper, we propose an information extraction method which can restore the handwritten character information from prescribed and skewed form documents. The proposed method include the following aspects: boundary and successive internal line dectection, accurate skew angle measurement, line removal and broken character restoration using morphological analysis model of crossing shape. Using the proposed method, more than 95% of the horizontal and vertical crossing lines are correctly restored.

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References

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Author information

Authors and Affiliations

  1. Computer Vision Lab., Dept. of Computer Science and Engineering, Chungang Univ., 221 Heuksuk-Dong, Dongjak-ku, 156-756, Seoul, Korea

    Jin-Yong Yoo, Min-Ki Kim, Sang Yong Han & Young-Bin Kwon

Authors
  1. Jin-Yong Yoo
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  2. Min-Ki Kim
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  3. Sang Yong Han
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  4. Young-Bin Kwon
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Editor information

Karl Tombre Atul K. Chhabra

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© 1998 Springer-Verlag Berlin Heidelberg

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Yoo, JY., Kim, MK., Yong Han, S., Kwon, YB. (1998). Information extraction from a skewed form document in the presence of crossing characters. In: Tombre, K., Chhabra, A.K. (eds) Graphics Recognition Algorithms and Systems. GREC 1997. Lecture Notes in Computer Science, vol 1389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64381-8_45

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  • DOI: https://doi.org/10.1007/3-540-64381-8_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64381-4

  • Online ISBN: 978-3-540-69766-4

  • eBook Packages: Springer Book Archive

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