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Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts
Mike Kestemont, Vincent Christlein, Dominique Stutzmann, 2017. Speculum.
An article in Speculum introducing medievalists to machine learning for palaeography, with experiments on classifying Latin script types from images of manuscript pages using convolutional neural networks.
What it's used for here
Listed in the inductive methods survey's references on computer vision for manuscripts.
Cited by on this site 1 record
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SRCInductive methods
Cite it
Kestemont, M., Christlein, V., & Stutzmann, D. (2017). Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts. Speculum. https://doi.org/10.1086/694112
@article{kestemont2017artificial,
author = {Kestemont, Mike and Christlein, Vincent and Stutzmann, Dominique},
title = {Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts},
journal = {Speculum},
year = {2017},
doi = {10.1086/694112},
url = {https://hal.science/hal-01854939}
}TY - JOUR TI - Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts AU - Kestemont, Mike AU - Christlein, Vincent AU - Stutzmann, Dominique PY - 2017 JO - Speculum DO - 10.1086/694112 UR - https://hal.science/hal-01854939 ER -
Kestemont, Mike et al.. “Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts.” Speculum (2017). https://doi.org/10.1086/694112.