Fuzzy Single-Stroke Character Recognizer with Various Rectangle Fuzzy Grids

Chapter
Part of the Studies in Computational Intelligence book series (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.

Keywords

Fuzzy logic Fuzzy systems Fuzzy grid Single-stroke character recognition 

Notes

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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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of AutomationSzéchenyi István UniversityGyörHungary
  2. 2.Department of Telecommunications and Media InformaticsBudapest Universityof Technology and EconomicsBudapestHungary

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