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.

Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree / Wrobel, M.; Starczewski, J. T.; Napoli, C.. - 12416:(2020), pp. 103-113. (Intervento presentato al convegno 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020 tenutosi a Zakopane; Poland) [10.1007/978-3-030-61534-5_10].

Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree

Napoli C.
Ultimo
Supervision
2020

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.
2020
19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020
Fuzzy decision tree; Handwritten letter recognition
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree / Wrobel, M.; Starczewski, J. T.; Napoli, C.. - 12416:(2020), pp. 103-113. (Intervento presentato al convegno 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020 tenutosi a Zakopane; Poland) [10.1007/978-3-030-61534-5_10].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1496056
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