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Knowledge-based approach for adaptive recognition of drawings

  • Knowledge-Based Methods
  • Conference paper
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Book cover Pattern Recognition (PAR 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 301))

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Abstract

This paper describes the Knowledge-based Adaptive Recognition System for Drawings (KARD), using a computer and an optical scanner, and its application to chemical structural formula. KARD is designed as a test-bed system for a drawings recognition method with constructional knowledge about drawings concerned. In order to adaptively resolve target variety and distortion variety, KARD adopts an objective pattern unit description of rules and data-flow-like activation control mechanism for the rules. KARD application to chemical structural formula recognition, with knowledge about its syntactic restrictions, proves that KARD can not only recognize them but also detect contradictions due to recognition failures in the processes.

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References

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Author information

Authors and Affiliations

  1. C&C Information Technology Research Laboratories, NEC Corporation, 1-1, Miyazaki 4-Chome, Miyamae-ku, 213, Kawasaki, Kanagawa, Japan

    Shin-ichirou Okazaki & Yoshitake Tsuji

Authors
  1. Shin-ichirou Okazaki
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  2. Yoshitake Tsuji
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Editor information

J. Kittler

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© 1988 Springer-Verlag Berlin Heidelberg

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Okazaki, Si., Tsuji, Y. (1988). Knowledge-based approach for adaptive recognition of drawings. In: Kittler, J. (eds) Pattern Recognition. PAR 1988. Lecture Notes in Computer Science, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19036-8_33

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  • DOI: https://doi.org/10.1007/3-540-19036-8_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19036-3

  • Online ISBN: 978-3-540-38947-7

  • eBook Packages: Springer Book Archive

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