Animal Species Identification in Historical Parchments by Continuous Wavelet Transform–Convolutional Neural Network Classifier Applied to Ultraviolet–Visible–Near-Infrared Spectroscopic Data

Animal Species Identification in Historical Parchments by Continuous Wavelet Transform–Convolutional Neural Network Classifier Applied to Ultraviolet–Visible–Near-Infrared Spectroscopic Data

Identification of animal species in medieval parchment manuscripts is highly relevant in cultural heritage studies. Usually, species identification is performed with slightly invasive methods. In this study, we propose a contactless methodology based on reflectance spectrophotometry (ultraviolet–vis...

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Bibliographic Details
Main Authors: Nicolas Roy, Henry Pièrard, Julie Bouhy, Alexandre Mayer, Olivier Deparis, David Gravis
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2024-01-01
Series:Intelligent Computing
Online Access:https://spj.science.org/doi/10.34133/icomputing.0101
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https://spj.science.org/doi/10.34133/icomputing.0101

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