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Fuzzy Single-Stroke Character Recognizer with Various Rectangle Fuzzy Grids

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Issues and Challenges of Intelligent Systems and Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 530))

Abstract

In this chapter we introduce the results of a formerly published FUBAR character recognition method with various fuzzy grid parameters. The accuracy and efficiency of the handwritten single-stroke character recognition algorithm with different sized rectangle (N \(\times \) M) fuzzy grids are investigated. The results are compared to other modified FUBAR algorithms and known commercial and academic recognition methods. Possible applications and further extensions are also discussed. This work is the extended and fully detailed version of a previously published abstract.

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Acknowledgments

This chapter was supported by the National Scientific Research Fund Grant OTKA K75711 and OTKA K105529, a Széchenyi István University Main Research Direction Grant and EU grant TÁMOP 421 B, TÁMOP 4.2.2/B-10/1-2010-0010.

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Authors and Affiliations

  1. Department of Automation, Széchenyi István University, Györ, Hungary

    Alex Tormási & László T. Kóczy

  2. Department of Telecommunications and Media Informatics, Budapest Universityof Technology and Economics, Budapest, Hungary

    László T. Kóczy

Authors
  1. Alex Tormási
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  2. László T. Kóczy
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Corresponding author

Correspondence to Alex Tormási .

Editor information

Editors and Affiliations

  1. Department of Automation, Széchenyi István University, Győr, Hungary

    László T. Kóczy

  2. Department of Information Technology, Széchenyi István University, Győr, Hungary

    Claudiu R. Pozna

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Tormási, A., Kóczy, L.T. (2014). Fuzzy Single-Stroke Character Recognizer with Various Rectangle Fuzzy Grids. In: Kóczy, L., Pozna, C., Kacprzyk, J. (eds) Issues and Challenges of Intelligent Systems and Computational Intelligence. Studies in Computational Intelligence, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-319-03206-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-03206-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03205-4

  • Online ISBN: 978-3-319-03206-1

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