• DocumentCode
    1245421
  • Title

    Digital detectives reveal art forgeries

  • Author

    Corder, P.F.

  • Volume
    7
  • Issue
    2
  • fYear
    2005
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    A computer scientist practices a new kind of forensics: a statistical technique that gauges whether a photograph is computer generated (CG), or if a work of art is a forgery. So far, his computer algorithms have correctly identified five forgeries among 13 artists´ drawings and matched some human experts´ theories on the origins of a Renaissance oil painting. The detective saw visual elements in a work of art that would lend themselves to a mathematical technique called wavelet analysis. Wavelets can break down a picture into vertical, horizontal, and diagonal elements on large and small scales. Statistical algorithms can then detect a pattern in those elements $an image´s unique signature.
  • Keywords
    art; copy protection; digital signatures; image processing; pattern recognition; photography; statistical analysis; wavelet transforms; Renaissance oil painting; computer algorithms; computer generated photograph; image signature; mathematical technique; pattern detection; photograph forgery; statistical algorithms; statistical technique; wavelet analysis; Art; Educational institutions; Engineering drawings; Forgery; Painting; Paints; Petroleum; Statistics; Subspace constraints; Testing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2005.30
  • Filename
    1401795