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Recognition of various bar-graph structures based on layout model

  • Poster Session II
  • Conference paper
  • First Online:
Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1352))

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Abstract

The structure recognition of bar-graphs is one of interesting subjects in the research fields of document understanding and drawing interpretation. In this paper, we address the recognition method of bar-graphs under the assumption that bar-graph has its own layout structure. The bar-graphs are very simple in comparison with other graphs, but the structures are too complicated: we observe various structures or many different representations in our environment. Our method is constructed flexibly so as to analyze such complicated structures successfully: our layout network, which represents the knowledge of layout structure of bar-graphs, is composed of three subnets with a view to establishing the concise specification of variant and invariant structures.

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References

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Author information

Authors and Affiliations

  1. Department of Information Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, 464-01, Chikusa-ku, Nagoya, Japan

    Naoko Yokokura & Toyohide Watanabe

Authors
  1. Naoko Yokokura
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  2. Toyohide Watanabe
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Editor information

Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Yokokura, N., Watanabe, T. (1997). Recognition of various bar-graph structures based on layout model. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_205

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  • DOI: https://doi.org/10.1007/3-540-63931-4_205

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63931-2

  • Online ISBN: 978-3-540-69670-4

  • eBook Packages: Springer Book Archive

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