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Methods for Korean business forms processing

  • Form Processing
  • Conference paper
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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

This paper introduces the methods for business forms proessing in Korea. Recognizing the forms of credit card sales slips, bank deposit slips, and insurance application forms will be introduced. This paper is divided into two parts. The first part in section 2 focuses on the forms processing by discussing the issues of form identification, recognition field extraction, and form line removal with character restoration capability. The second part in section 3 focuses on recognizing continuous handwritten numerals extracted from the target application forms. The issues of segmenting touching numerals, classifying each segmented numeral, and improving overall reliability by rejecting garbage patterns will be discussed. Current experimental results are followed in each method introduced.

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Author information

Authors and Affiliations

  1. Computer Science Dept., Sookmyung Women's University, 53-12 Chungpa-dong, Yongsan-ku, 140-742, Seoul, Korea

    Young-Woo Choi

  2. Dept. of Computer Eng., Chungang University, 221 Heuksuk-dong, Dongjak-ku, 156-756, Seoul, Korea

    Young-Bin Kwon

Authors
  1. Young-Woo Choi
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  2. 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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Choi, YW., Kwon, YB. (1998). Methods for Korean business forms processing. 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_44

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  • DOI: https://doi.org/10.1007/3-540-64381-8_44

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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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