From March 2022, an interdisciplinary team (Egyptology and Engineering) runs the OCR-PT-CT project at Universidad de Alcalá (Alcalá de Henares, Madrid) in synergy with the MORTEXVAR project (Comunidad de Madrid) and the GEINTRA and CIARQ research groups.
The OCR-PT-CT project is working on an OCR system adapted to the Pyramid Texts and Coffin Texts PDF publications in “standard” (Egyptologist or machine handwritten) hieroglyphs that will permit to keep manual encoding at a minimum. Access to these editions has been granted by the Oriental Institute (University of Chicago) and James P. Allen (Brown University, Providence).
The project involves techniques for the segmentation of the hieroglyphic script in these texts and classification systems based on deep neural networks. This will allow the researchers to interactively check the chosen corpus without manually encoding much of the text at the sentence level.
The OCR-PT-CT project will implement a task sequence that will constantly consider the flexibility and range of the data set regarding its possible usability with different complex writing systems.
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OpenEdition suggests that you cite this post as follows:
Carlos Gracia Zamacona (March 3, 2023). The OCR-PT-CT project. Inside Ancient Egyptian Graphemics. Retrieved July 25, 2026 from https://doi.org/10.58079/o4yz