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Ink classification in historical documents using hyperspectral imaging and machine learning methods
16 references·0 citing·39 second hop
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References

  • 2016Reflectance Hyperspectral Imaging for Investigation of Works of Art: Old Master Paintings and Illuminated Manuscripts323 cited
  • 2008Synthetic organic pigments of the 20th and 21st century relevant to artist's paints: Raman spectra reference collection262 cited
  • 2015Analytical chemistry in the field of cultural heritage158 cited
  • 2020Hyper-Spectral Imaging Technique in the Cultural Heritage Field: New Possible Scenarios155 cited
  • 2017Hyperspectral imaging combined with data classification techniques as an aid for artwork authentication123 cited
  • 2012Near Infrared Reflectance Imaging Spectroscopy to Map Paint Binders In Situ on Illuminated Manuscripts108 cited
  • 2013In-situ identification of copper-based green pigments on paintings and manuscripts by reflection FTIR107 cited
  • 2018Automatic pigment identification from hyperspectral data107 cited
  • 2007Chapter 5 Hyperspectral Imaging: A New Technique for the Non-Invasive Study of Artworks97 cited
  • 2021Application of Uniform Manifold Approximation and Projection (UMAP) in spectral imaging of artworks96 cited
  • 2008A non-invasive XRF study supported by multivariate statistical analysis and reflectance FTIR to assess the composition of modern painting materials95 cited
  • 2020An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence76 cited
  • 1996Recent applications to the study of ancient inks with the Florence external-PIXE facility

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76 cited
  • 2018Hyperspectral imaging and spectral classification for pigment identification and mapping in paintings by El Greco and his workshop61 cited
  • 2022Iron-gall inks: a review of their degradation mechanisms and conservation treatments59 cited
  • 2019Study of Iron Gall Inks, Ingredients and Paper Composition Using Non-Destructive Techniques49 cited
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