Detection of forgery in paintings using supervised learning

  title={Detection of forgery in paintings using supervised learning},
  author={Gungor Polatkan and Sina Jafarpour and Andrei Brasoveanu and Shannon M. Hughes and Ingrid Daubechies},
  journal={2009 16th IEEE International Conference on Image Processing (ICIP)},
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this topic has presented some promising initial results. Our reexamination of some of these recently successful experiments shows that variations in image clarity in the experimental datasets were correlated with authenticity, and may have acted as a confounding factor, artificially improving the results. To determine the… CONTINUE READING
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Caspers Data Set

  • C. Caspers
  • http://www.math.…
  • 2008
2 Excerpts

Nova Challenge

  • E. Postma, I. Daubechies, +5 authors C. Caspers
  • nova/sciencenow/0302/02…
  • 2008
1 Excerpt

Proc. 1st int. workshop on image processing for artist identification ( 1.pdf)

  • C. R. Johnson, Jr., ed.
  • Van Gogh Museum, Amsterdam, 2007.
  • 2007
2 Excerpts

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