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                            Funding & Awards
 Improving Investigative Lead Information and Evidential Significance Assessment for Automotive Paint and the PDQ Database
Award Information
Awardee
              Oklahoma State University
Award #
              2010-DN-BX-K217
Funding Category
              Competitive
Location
                    Stillwater, OK
Awardee County
              Payne
Congressional District
              3
Status
              Closed
Funding First Awarded
              2010
Total funding (to date)
              $460,473
Original Solicitation
              NIJ FY 10 Fundamental Research to Improve Understanding of the Accuracy, Reliability, and Measurement Validity of Forensic Science Disciplines
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



  
Grant-Funded Publications
        
                      Pattern Recognition-Assisted Infrared Library Searching of Automotive Clear Coats
                  Search Prefilters To Assist in Library Searching of Infrared Spectra of Automotive Clear Coats
                  Improving Investigative Lead Information and Evidential Significance Assessment for Automotive Paint and the PDQ Database
                  Development of Search Prefilters for Infrared Library Searching of Clear Coat Paint Smears
                  Search prefilters for library matching of infrared spectra in the PDQ database using the autocorrelation transformation
                  Search prefilters for mid-infrared absorbance spectra of clear coat automotive paint smears using stacked and linear classifiers

  
Date Created: August 30, 2010
    
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