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A Fuzzy Measure for Recognition of Handwritten Letter Strokes

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Artificial Intelligence and Soft Computing (ICAISC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10841))

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Abstract

In this paper, we propose and compare a few methods of representing a stroke as a vector of numbers. For each method, we describe, how to calculate the fuzzy measure of two strokes similarity. Vectors are determined on the basis of polynomials calculated by a stroke approximation.

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References

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czestochowa University of Technology, Czestochowa, Poland

    Michał Wróbel, Katarzyna Nieszporek & Janusz T. Starczewski

  2. Radom Academy of Economics, Radom, Poland

    Janusz T. Starczewski

  3. Information Technology Institute, University of Social Sciences, Łódź, Poland

    Andrzej Cader

  4. Clark University, Worcester, MA, 01610, USA

    Andrzej Cader

Authors
  1. Michał Wróbel
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  2. Katarzyna Nieszporek
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  3. Janusz T. Starczewski
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  4. Andrzej Cader
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Corresponding author

Correspondence to Michał Wróbel .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Wróbel, M., Nieszporek, K., Starczewski, J.T., Cader, A. (2018). A Fuzzy Measure for Recognition of Handwritten Letter Strokes. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10841. Springer, Cham. https://doi.org/10.1007/978-3-319-91253-0_70

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  • DOI: https://doi.org/10.1007/978-3-319-91253-0_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91252-3

  • Online ISBN: 978-3-319-91253-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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