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Abstract: We describe a computational technique for digitally authenticating works of art. This approach builds statistical models of an artist from a set of authenticated works. Additional works are then authenticated against this model. The statistical model consists of first- and higher-order wavelet statistics. We show preliminary results from our analysis of thirteen drawings by Pieter Bruegel the Elder. We also present preliminary results showing how these techniques may be applicable to determining how many hands contributed to a single painting.

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   Siwei Lyu, Daniel Rockmore, and Hany Farid, "Digital Art Forensics." Dartmouth Computer Science Technical Report TR2003-466, June 2003.

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