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                            Funding & Awards
 Adding human expertise to the quantitative analysis of fingerprints
Award Information
Awardee
              Indiana University
Award #
              2005-MU-BX-K076
Funding Category
              Competitive
Location
                    Bloomington, IN
Awardee County
              Monroe
Congressional District
              9
Status
              Closed
Funding First Awarded
              2005
Total funding (to date)
              $431,255
Original Solicitation
              Friction Ridge Analysis Research
Description of original award (Fiscal Year 2005, $431,255)
Quantitative approaches to fingerprint identification rely on different approaches derived from minutiae detection, orientation computations and other sources of information. These approaches extract out relevant features that can be matched across prints.  The applicant proposes to integrate human expertise into a statistical model to perform a quantitative analysis of inked and latent prints.  It will incorporate the visual search patterns of fingerprint examiners into machine learning algorithms to quantitatively analyze fingerprints.

ca/ncf



  
Grant-Funded Publications
        
                      ExpertEyes: Open-source, high-definition eyetracking
                  The relation between sensitivity, similar non-matches and database size in fingerprint database searches
                  Temporal Sequences Quantify the Contributions of Individual Fixations in Complex Perceptual Matching Tasks
                  Consistency and Variability Among Latent Print Examiners as Revealed by Eye Tracking Methodologies
                  Adding Human Expertise to the Quantitative Analysis of Fingerprints, Final Report
                  Emerging Trends in Psychology and Law Research
                  The Nature of Expertise in Fingerprint Examiners
                  Cognitive Science and the Law

  
Date Created: September 20, 2005
    
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