Software to hunt down faked masterpieces
True art would never be mistaken for a crude, paint-by-the-numbers copy. But a researcher has developed a statistical tool for determining whether a purported masterpiece is only a skilled imitation, suggesting that art may be a numbers game after all.
Using high-resolution digital images and complex mathematical formulas, associate professor Hany Farid of Dartmouth College analyzed works by Renaissance artists to determine their authenticity.
His computer program was able to accurately separate eight drawings by 16th century Flemish artist Pieter Bruegel the Elder from five drawings by imitators. It also found that portions of a painting by Italian artist Pietro di Cristoforo Vannucci, known as Perugino, were probably done by Perugino's apprentices.
Farid described his work, presented Monday in the Proceedings of the National Academy of Sciences, as "simply another tool that is contributing to the dialogue of art authenticating" and said more work is needed before digital analysis of art could be done on a wider scale.
Art experts reacted warily to the prospect that a masterpiece could be reduced to the sum of its digital parts.
"I'm highly skeptical of using the computer for this kind of approach," said Laurence Kanter, curator in charge of the Robert Lehman collection at the Metropolitan Museum of Art in New York City. "It's very possible that a program like that could be exploited to great advantage, but I still need to be persuaded."
