Algorithms, Volume 16, Issue 2
February 2023 - 64 articles
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Cover Story: We explored the ability of a deep learning algorithm to segment ancient Egyptian hieroglyphs present in an image. The issue is complex, the main obstacles being the high number of different classes of existing hieroglyphs and the differences related to the hand of the scribe, as well as the great differences among the various supports, such as papyri, stone or wood, where they are written. Furthermore, deterioration to the supports occurs frequently in all archaeological findings, which has the effect of partially corrupting the hieroglyphs. We leveraged the well-known Detectron2 platform to tackle this difficult challenge, focusing on the Mask R-CNN architecture to carry out image instance segmentation. The results show good achievements as well as the current limitations of our study. View this paper