Hyperspectral imaging combined with data classification techniques as an aid for artwork authentication

Polak, Adam and Kelman, Timothy and Murray, Paul and Marshall, Stephen and Stothard, David J. M. and Eastaugh, Nicholas and Eastaugh, Francis (2017) Hyperspectral imaging combined with data classification techniques as an aid for artwork authentication. Journal of Cultural Heritage, 26. pp. 1-11. ISSN 1296-2074 (https://doi.org/10.1016/j.culher.2017.01.013)

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Abstract

In recent years various scientific practices have been adapted to the artwork analysis process. Although a set of techniques is available for art historians and scientists, there is a constant need for rapid and non-destructive methods to empower the art authentication process. In this paper hyperspectral imaging combined with signal processing and classification techniques are proposed as a tool to enhance the process for identification of art forgeries. Using bespoke paintings designed for this work, a spectral library of selected pigments was established and the viability of training and the application of classification techniques based on this data was demonstrated. Using these techniques for the analysis of actual forged paintings resulted in the identification of anachronistic paint, confirming the falsity of the artwork. This paper demonstrates the applicability of infrared (IR) hyperspectral imaging for artwork authentication.

ORCID iDs

Polak, Adam ORCID logoORCID: https://orcid.org/0000-0001-6550-7716, Kelman, Timothy ORCID logoORCID: https://orcid.org/0000-0003-3681-1879, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Stothard, David J. M., Eastaugh, Nicholas and Eastaugh, Francis;
CORE (COnnecting REpositories)