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

Adam Polak, Timothy Kelman, Paul Murray, Stephen Marshall, David J. M. Stothard, Nicholas Eastaugh , Francis Eastaugh

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)
164 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalJournal of Cultural Heritage
Early online date11 Mar 2017
Publication statusE-pub ahead of print - 11 Mar 2017


  • hyperspectral imaging (HSI)
  • infrared
  • artwork authentication
  • support vector machine (SVM)
  • non-destructive
  • signal processing
  • forgeries


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