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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2010: Artificial Intelligence and Soft Computing pp 80–87Cite as

Fuzzy Spatial Analysis Techniques for Mathematical Expression Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

Abstract

One of the major issues encountered in the recognition of handwritten mathematical expressions, is the non-linear nature of the symbols. The spatial positioning of each symbol with respect to the others implies mathematical relationships, but the ambiguous nature of handwriting can often lead to the misrecognition of these relationships. This paper describes the results of comparative testing of spatial analysis techniques that determine these relationships, in an effort to discover the most appropriate technique to be adopted during the development of an efficient recognition system.

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References

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Author information

Authors and Affiliations

  1. University College Dublin, Belfield, Dublin 4, Ireland

    Ray Genoe & Tahar Kechadi

Authors
  1. Ray Genoe
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  2. Tahar Kechadi
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Genoe, R., Kechadi, T. (2010). Fuzzy Spatial Analysis Techniques for Mathematical Expression Recognition. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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