Thome, BorisHertweck, FriederikeJonas, LukasYasar, SerifeConrad, StefanKlein, MaikeKrupka, DanielWinter, CorneliaGergeleit, MartinMartin, Ludger2024-10-212024-10-212024978-3-88579-746-3https://dl.gi.de/handle/20.500.12116/45151This paper introduces a novel algorithm specifically designed to address the unique complexities of icon-based tables in digital documents. Our algorithm leverages a combination of computer vision techniques to accurately detect table grids, identify symbols, and insert them into their relative positions.entable extractioneducation datahigher educationText/Conference Paper10.18420/inf2024_1731617-5468