Skip to main content

Syntactic Pattern Recognition: Survey of Frontiers and Crucial Methodological Issues

  • Conference paper
Computer Recognition Systems 4

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 95))

Abstract

The crucial methodological assumptions for constructing syntactic pattern recognition methods are presented in the paper. The frontiers constituting key open problems in the area of syntactic pattern recognition are identified. A survey and an analysis of the main methods based on an enhancement of context-free grammars results in formulating methodological principles for defining such methods. A discussion of key issues concerning a construction of graph grammar-basedmethods allows us to define methodological rules in this important area of syntactic pattern recognition.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aho, A.V.: Indexed grammars - an extension of context-free grammars. Journal of the Association for Computing Machinery 15, 647–671 (1968)

    MATH  MathSciNet  Google Scholar 

  2. Alquezar, R., Sanfeliu, A.: Recognition and learning of a class of context-sensitive languages described by augmented regular expressions. Pattern Recognition 30, 163–182 (1997)

    Article  Google Scholar 

  3. Bunke, H.O., Haller, B.: A parser for context free plex grammars. In: Nagl, M. (ed.) WG 1989. LNCS, vol. 411, pp. 136–150. Springer, Heidelberg (1990)

    Google Scholar 

  4. Bunke, H.O., Sanfeliu, A. (eds.): Syntactic and Structural Pattern Recognition - Theory and Applications. World Scientific, Singapore (1990)

    MATH  Google Scholar 

  5. Dassow, J., Paun, G.: Regulated Rewriting in Formal Language Theory. Springer, New York (1990)

    Google Scholar 

  6. Ferruci, F., Tortora, G., Tucci, M., Vitiello, G.: A predictive parser for visual languages specified by relational grammars. In: Proc. IEEE Symp. Visual Lang. VL 1994, pp. 245–252 (1994)

    Google Scholar 

  7. FlasiƄski, M.: On the parsing of deterministic graph languages for syntactic pattern recognition. Pattern Recognition 26, 1–16 (1993)

    Article  MathSciNet  Google Scholar 

  8. FlasiƄski, M.: Power properties of NLC graph grammars with a polynomial membership problem. Theoretical Computer Science 201, 189–231 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  9. FlasiƄski, M., Jurek, J.: Dynamically programmed automata for quasi context sensitive languages as a tool for inference support in pattern recognition-based real-time control expert systems. Pattern Recognition 32, 671–690 (1999)

    Article  Google Scholar 

  10. FlasiƄski, M.: Inference of parsable graph grammars for syntactic pattern recognition. Fundamenta Informaticae 80, 379–413 (2007)

    MATH  MathSciNet  Google Scholar 

  11. Fu, K.S.: Syntactic Pattern Recognition and Applications. Prentice Hall, Englewood Cliffs (1982)

    MATH  Google Scholar 

  12. Goldfarb, L.: Pattern representation and the future of pattern recognition. In: Proc. ICPR 2004 Workshop, Cambridge UK, August 22 (2004)

    Google Scholar 

  13. Gonzales, R.C., Thomason, M.G.: Syntactic Pattern Recognition: An Introduction. Addison-Wesley, Reading (1978)

    Google Scholar 

  14. Jain, A.K., Duin, R.P.W., Mao, J.: Statistical pattern recognition: a review. IEEE Trans. Pattern Anal. Machine Intell. 22, 4–37 (2000)

    Article  Google Scholar 

  15. Janssens, D., Rozenberg, G.: On the structure of node-label-controlled graph languages. Information Sciences 20, 191–216 (1980)

    Article  MATH  MathSciNet  Google Scholar 

  16. Jurek, J.: On the linear computational complexity of the parser for quasi context sensitive languages. Pattern Recognition Letters 21, 179–187 (2000)

    Article  Google Scholar 

  17. Jurek, J.: Recent developments of the syntactic pattern recognition model based on quasi-context sensitive languages. Pattern Recognition Letters 26, 1011–1018 (2005)

    Article  Google Scholar 

  18. Marcus, S.: Contextual grammars. Rev. Roum. Math. Pures Appl. 14, 1525–1534 (1969)

    MATH  Google Scholar 

  19. Oates, T., Armstrong, T., Becerra-Bonache, L., Atamas, M.: Inferring grammars for mildly context sensitive languages in polynomial time. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds.) ICGI 2006. LNCS (LNAI), vol. 4201, pp. 137–147. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  20. Okhotin, A.: Boolean grammars. Information and Computation 194, 19–48 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  21. Pavlidis, T.: Structural Pattern Recognition. Springer, New York (1977)

    MATH  Google Scholar 

  22. Peng, K.J., Yamamoto, T., Aoki, Y.: A new parsing scheme for plex grammars. Pattern Recognition 23, 393–402 (1990)

    Article  Google Scholar 

  23. Rosenfeld, A., Milgram, D.L.: Web automata and web grammars. Machine Intelligence 7, 307–324 (1972)

    MATH  Google Scholar 

  24. Rosenkrantz, D.J.: Programmed grammars and classes of formal languages. Journal of the Association for Computing Machinery 16, 107–131 (1969)

    MATH  MathSciNet  Google Scholar 

  25. Rosenkrantz, D.J., Stearns, R.E.: Properties of deterministic top-down grammars. Information Control 17, 226–256 (1970)

    Article  MATH  MathSciNet  Google Scholar 

  26. Shi, Q.Y., Fu, K.S.: Parsing and translation of attributed expansive graph languages for scene analysis. IEEE Trans. Pattern Analysis Mach. Intell. 5, 472–485 (1983)

    Article  MATH  Google Scholar 

  27. Tadeusiewicz, R., Ogiela, M.R.: Medical Image Understanding Technology. Springer, Heidelberg (2004)

    MATH  Google Scholar 

  28. Tanaka, E.: Theoretical aspects of syntactic pattern recognition. Pattern Recognition 28, 1053–1061 (1995)

    Article  Google Scholar 

  29. Turan, G.: On the complexity of graph grammars. Rep. Automata Theory Research Group. Szeged (1982)

    Google Scholar 

  30. Vijay-Shanker, K., Weir, D.J.: The equivalence of four extensions of context-free grammars. Mathematical Systems Theory 27, 511–546 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  31. Wittenburg, K.: Earley-style parsing for relational grammars. In: Proc. IEEE Symp. Visual Lang. VL 1992, pp. 192–199 (1992)

    Google Scholar 

  32. Zhang, D.Q., Zhang, K., Cao, J.: A context-sensitive graph grammar formalism for the specification of visual languages. The Computer Journal 44, 186–200 (2001)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

FlasiƄski, M., Jurek, J. (2011). Syntactic Pattern Recognition: Survey of Frontiers and Crucial Methodological Issues. In: Burduk, R., KurzyƄski, M., WoĆșniak, M., Ć»oƂnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20320-6_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20319-0

  • Online ISBN: 978-3-642-20320-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics