Vision systems analyze paintings for authenticity

SEPTEMBER 2, 2008--Two researchers from Penn State (University Park, PA, USA; http://ist.psu.edu/) are part of an international team working on a digital system to help tell original works from counterfeit works.

SEPTEMBER 2, 2008--As museums continue to digitize their art collections, it becomes increasingly easier for paintings to be forged. Two researchers from Penn State (University Park, PA, USA; http://ist.psu.edu/) are part of an international team working on a digital system to help tell original works from counterfeit works. James Z. Wang , associate professor of Information Sciences and Technology (IST), and Jia Li, associate professor of statistics, were part of a group of researchers that published the paper, "Image Processing for Artist Identification: Computerized Analysis for Vincent van Gogh's Painting Brushstrokes" in the July 2008 issue of IEEE Signal Processing.

For more information on the team's research and events regarding digital painting analysis, visit http://digitalpaintinganalysis.org/.

To hear a conversation on "Finding a Fake Van Gogh" with Dean Irwin of PBS's "NOVA scienceNOW," visit http://www.pbs.org/wgbh/nova/sciencenow/dispatches/080410.html.

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