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Computer Vision and Graphics pp 27–32Cite as

SHAPE SIMILARITY TO ALPHANUMERIC SIGN

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

Abstract

The paper describes different approaches to evaluation of shape. It contains analysis of their usefulness to calculation of similarity to a letter or digit. Ability to check similarity to alphanumeric signs is needed for estimation of preprocessing quality in recognition of machine-typed documents4,9. It is also needed for distinguishing letter-like segments from other shapes in search of inscriptions in pictures taken by apparatus for visually impaired3. Because the well-known approaches seem to be insufficient to evaluation of shape similarity to alphanumeric sign, the new method is proposed. This method is based on statistical analysis of the Maximal Square Map introduced in the paper.

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REFERENCES

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Author information

Authors and Affiliations

  1. Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, ul. G. Narutowicza 11/12, Gdańsk, 80-952, Poland

    JACEK LEBIEDŹ

Authors
  1. JACEK LEBIEDŹ
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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LEBIEDŹ, J. (2006). SHAPE SIMILARITY TO ALPHANUMERIC SIGN. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_5

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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