Abstract
This paper presents the use of fuzzy set reasoning in the pattern classification stage of a character recogniser. The preprocessing stage involves thinning and tai1-removal, whereas the feature generation stage consists of polygonal approximation and the extraction of the various features. The classification is performed by a parallel fuzzy labelling method tested both on English (Latin) and Greek handwritten characters pointing out the flexibility of the method.
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© 1986 D. Reidel Publishing Company
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Mantas, J. (1986). Character Recognition by Means of Fuzzy Set Reasoning. In: Jones, A., Kaufmann, A., Zimmermann, HJ. (eds) Fuzzy Sets Theory and Applications. NATO ASI Series, vol 177. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4682-8_14
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DOI: https://doi.org/10.1007/978-94-009-4682-8_14
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8581-6
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