• DocumentCode
    1428064
  • Title

    A new attack on art fraud

  • Author

    Jones, Willie D.

  • Volume
    47
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    18
  • Lastpage
    18
  • Abstract
    Every few years, we´re wowed by news of some jaw-dropping sum paid for a previously unknown painting or drawing by a famous artist. But how can a buyer truly be sure that a piece is a legitimate creation of, say, Leonardo or Gauguin? Mathematicians at Dartmouth College, in Hanover, N.H., may have the answer. They recently presented a computer-based statistical analysis technique which they say will help art historians and conservators discover even the most skilled forgery.
  • Keywords
    Appraisal; Art; Chemical technology; Educational institutions; Forgery; Painting; Software tools; Statistical analysis; Vocabulary; Writing;
  • fLanguage
    English
  • Journal_Title
    Spectrum, IEEE
  • Publisher
    ieee
  • ISSN
    0018-9235
  • Type

    jour

  • DOI
    10.1109/MSPEC.2010.5421889
  • Filename
    5421889