Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts
Mike Kestemont|Vincent Christlein|Dominique Stutzmann
In image classification, deep “convolutional” neural networks (CNNs) have become a state-of-the-art tool for large-scale classification. “Convolutional” means that such network typically starts by sliding series of low-level feature detectors over the entire image.30 These are first applied to small areas in original (for example, square patches 3 × pixels). The features detected these “filters” subsequently fed into higher-level neurons, which thus larger receptive field (e.g., 27 pixels) sense they “see” part image.
Speculum|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)|HAL (Le Centre pour la Communication Scientifique Directe)|Institutional Repository University of Antwerp (University of Antwerp)|HAL (Le Centre pour la Communication Scientifique Directe)