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Improving Investigative Lead Information and Evidential Significance Assessment for Automotive Paint and the PDQ Database

Award Information

Award #
2010-DN-BX-K217
Funding Category
Competitive
Location
Awardee County
Payne
Congressional District
Status
Closed
Funding First Awarded
2010
Total funding (to date)
$460,473

Description of original award (Fiscal Year 2010, $460,473)

The goal of this project is to develop new pattern recognition techniques for searching infrared (IR) spectral libraries of the Paint Data Query (PDQ) automotive paint database. These search techniques will be used to differentiate between similar but non-identical Fourier transform infrared (FTIR) paint spectra, and to determine the model, manufacturer, and year of the vehicle from which an unknown paint sample originated.

ca/ncf

Date Created: August 30, 2010