Abstract
This paper presents an algorithm for the extraction of handwritten strokes from a binary image. Each stroke is represented by a family of discs covering the area of the handwritten word. These discs are selected and connected to each other using heuristic (especially greedy) techniques.
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Wróbel, M., Starczewski, J.T., Nieszporek, K., Opiełka, P., Kaźmierczak, A. (2019). A Greedy Algorithm for Extraction of Handwritten Strokes. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_42
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DOI: https://doi.org/10.1007/978-3-030-20915-5_42
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