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Volume: 22 | Article ID: 1
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Exploring the HYPERDOC Database: Advancing Hyperspectral Imaging for Historical Document Analysis
  DOI :  10.2352/issn.2168-3204.2025.22.1.1  Published OnlineJune 2025
Abstract
Abstract

The HYPERDOC database is a publicly available hyperspectral imaging resource for the analysis of historical documents and mock-ups of inks and pigments. It consists of 1681 hyperspectral datacubes, containing millions of reflectance spectra, covering the VNIR (400–1000 nm) and SWIR (900–1700 nm) spectral ranges, including different ink recipes and documents from the 15th to 20th centuries, preserved in two archives in Granada, Spain. We will present the data acquisition process and structure of the database, followed by a live demonstration of its functionality, guiding participants through its use. Additionally, three applications of the database will be summarized, including document binarization, ink classification using machine learning techniques, and ink aging analysis. The HYPERDOC database facilitates the integration of advanced imaging techniques into document analysis and preservation, contributing to the non-invasive study of historical materials.

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Ana B. López-Baldomero, Francisco Moronta-Montero, Miguel A. Martínez-Domingo, Yannick Lefier, Juan Luis Nieves, Javier Hernández-Andrés, Ramón Fernández-Gualda, Anna S. Reichert, Ana López-Montes, Teresa Espejo, Javier Romero, Eva M. Valero, "Exploring the HYPERDOC Database: Advancing Hyperspectral Imaging for Historical Document Analysisin Archiving Conference,  2025,  pp 1 - 6,  https://doi.org/10.2352/issn.2168-3204.2025.22.1.1

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This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
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