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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2020: Artificial Intelligence and Soft Computing pp 103–113Cite as

Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12416))

Abstract

This paper presents an algorithm for grouping strokes. This method includes two stages. Firstly, a set of strokes is transformed into a set of hypotheses that a group of strokes matches the pattern. For this purpose, a method for comparing small groups of strokes is proposed. Then, the set of hypotheses is selected with the use of a decision tree to get a proposition of a word.

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Author information

Authors and Affiliations

  1. Department of Intelligent Computer Systems, Czestochowa University of Technology, Czestochowa, Poland

    Michał Wróbel & Janusz T. Starczewski

  2. Department of Computer, Control and Management Engineering, Sapienza University of Rome, Roma, Italy

    Christian Napoli

Authors
  1. Michał Wróbel
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  2. Janusz T. Starczewski
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  3. Christian Napoli
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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. Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

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

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Wróbel, M., Starczewski, J.T., Napoli, C. (2020). Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2020. Lecture Notes in Computer Science(), vol 12416. Springer, Cham. https://doi.org/10.1007/978-3-030-61534-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-61534-5_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61533-8

  • Online ISBN: 978-3-030-61534-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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