A fuzzy measure for recognition of handwritten letter strokes

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Abstract

In this paper, we propose and compare a few methods of representing a stroke as a vector of numbers. For each method, we describe, how to calculate the fuzzy measure of two strokes similarity. Vectors are determined on the basis of polynomials calculated by a stroke approximation.

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Wróbel, M., Nieszporek, K., Starczewski, J. T., & Cader, A. (2018). A fuzzy measure for recognition of handwritten letter strokes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10841 LNAI, pp. 761–770). Springer Verlag. https://doi.org/10.1007/978-3-319-91253-0_70

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