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Path-controlled graph grammars for syntactic pattern recognition

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Parallel Image Analysis (ICPIA 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 654))

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Abstract

The graph structure is a strong formalism for representing pictures in syntactic pattern recognition. Many models for graph grammars have been proposed as a kind of hyper-dimensional generating systems, whereas the use of such grammars for pattern recognition is relatively infrequent. One of the reason is the difficulties of building a syntax analyzer for such graph grammars. In this paper, we define a subclass of nPCE graph grammars and present a parsing algorithm of O(n) for both sequential and parallel cases.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics, Hiroshima University, 724, Higashi-Hiroshima, Japan

    Kunio Aizawa

  2. Department of Computer Science, Meiji University, Kawasaki, 214, Kanagawa, Japan

    Akira Nakamura

Authors
  1. Kunio Aizawa
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  2. Akira Nakamura
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Editor information

Akira Nakamura Maurice Nivat Ahmed Saoudi Patrick S. P. Wang Katsushi Inoue

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© 1992 Springer-Verlag Berlin Heidelberg

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Aizawa, K., Nakamura, A. (1992). Path-controlled graph grammars for syntactic pattern recognition. In: Nakamura, A., Nivat, M., Saoudi, A., Wang, P.S.P., Inoue, K. (eds) Parallel Image Analysis. ICPIA 1992. Lecture Notes in Computer Science, vol 654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56346-6_29

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  • DOI: https://doi.org/10.1007/3-540-56346-6_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56346-4

  • Online ISBN: 978-3-540-47538-5

  • eBook Packages: Springer Book Archive

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