The purpose of this work is to present a new dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1700 nm). In addition, we performed an evaluation of different binarization algorithms, both using a single spectral band and generating false RGB images from the hyperspectral cube.
Francisco Moronta-Montero, Ramón Fernández-Gualda, Ana B. López-Baldomero, Marco Buzzelli, Miguel A. Martínez-Domingo, Eva M. Valero, "Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees" in Archiving Conference, 2024, pp 94 - 100, https://doi.org/10.2352/issn.2168-3204.2024.21.1.19