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
Link To Document :
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