Skip to main content

Combination of Invariant Pattern Recognition Primitives on Technical Documents

  • Conference paper
  • First Online:
Graphics Recognition Recent Advances (GREC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1941))

Included in the following conference series:

Abstract

This paper deals with a particular aspect of a technical document interpretation device: the recognition of multi-oriented and multi-scaled characters and symbols. The adopted methodology is based on original descriptors, relying on the computation of the Mellin Fourier Transform. These descriptors are then combined with classical invariant through the use of Genetic Algorithms. The application frame of this study is the interpretation of the documents of the French telephonic operator France-Telecom for which the recognition of symbols constitutes a crucial point for a robust interpretation.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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.

5 References

  1. S. Adam, J. M. Ogier, C. Cariou, R. Mullot, J. Gardes, Y. Lecourtier, Multi-Scaled and Multi Oriented Character Recognition: An Original Strategy, Proceedings of ICDAR 99, Bangalore, India, 45–48, 1999

    Google Scholar 

  2. M. Teague, Image analysis via the general theory of moments, Journal of Optical Society of America, 70, 920–930, 1980.

    MathSciNet  Google Scholar 

  3. E. Menu, L. Lefrere, Y. Lecourtier, A New Method of Distorsion Invariant Character Recognition, Proceedings of IAPR 1992, La Hague, Vol. 2, 599–602, 1992.

    Google Scholar 

  4. J.-M. Ogier, Contribution à l’analyse automatique de documents cartographiques: interprétation de données cadastrales, Thèse de Doctorat, Université de Rouen, 1994.

    Google Scholar 

  5. O. D. Trier, A. K. Jain, T. Taxt, Features extraction methods for character recognition-A Survey, Pattern Recognition, 29, 641–662, 1996.

    Article  Google Scholar 

  6. F. Ghorbel, A complete invariant description for gray level images by the harmonic analysis approach, Pattern Recognition Letters 15, pp 1043–1051, 1994.

    Article  Google Scholar 

  7. A. Khotanzad and Y. H. Hong, Rotation Invariant image recognition using features selected via a systematic method, Pattern Recognition 23 1089–1101, 1990.

    Article  Google Scholar 

  8. G. Ravichandran, M. Trivedi, Circular-Mellin Features for Texture Segmentation, IEEE Trans. on Image Processing, 1995.

    Google Scholar 

  9. S. O. Belkasim, M. Shridar and A. Ahmadi, Pattern Recognition with moment invariants: A comparative study and new results, Pattern Recognition 24, 1117–1138, 1991.

    Article  Google Scholar 

  10. N. Kita, Object locating based on concentric circular description, Proceedings of 11th IEEE International Conference of Pattern Recognition, Den Haag, Vol 1, 637–641, 1992.

    Google Scholar 

  11. S. A. Dudani, K. J. Bredding, R. M. McGhee, Aircraft identification by moment invariants, IEEE Transaction Computer, C-26, 39–45, 1977.

    Article  Google Scholar 

  12. D. Zongker and A. Jain, Algorithms for Feature Selection: An Evaluation, Proceedings of ICPR 96, Vol II, 18–22, 1996

    Google Scholar 

  13. W. Siedlecki and J. Sklansky. A Note on Genetic Algorithms for Large-Scale Feature Selection, Pattern Recognition Letters, 10, 335–347, 1989.

    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

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Adam, S., Ogier, JM., Cariou, C., Gardes, J., Mullot, R., Lecourtier, Y. (2000). Combination of Invariant Pattern Recognition Primitives on Technical Documents. In: Chhabra, A.K., Dori, D. (eds) Graphics Recognition Recent Advances. GREC 1999. Lecture Notes in Computer Science, vol 1941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40953-X_20

Download citation

  • DOI: https://doi.org/10.1007/3-540-40953-X_20

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41222-9

  • Online ISBN: 978-3-540-40953-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics