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SUMMARY:Quantifying Information Content in Pattern Evidence - Karen Kafada
 r (University of Virginia)
DTSTART:20161111T113000Z
DTEND:20161111T120000Z
UID:TALK68944@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:The first step in the ACE-V process for comparing fingerprints
  is the  "Analysis" phase\, where the latent print under investigation is 
 subjectively  assessed for its "suitability" (e.g.\, clarity and relevance
  of features and  minutiae). Several proposals have been offered for objec
 tively characterizing  the "quality" of a latent print. The goal of such a
 n objective assessment is to  relate the "quality metric" (which may be a 
 vector of quality scores) to the  accuracy of the call (correct ID or corr
 ect exclusion)\, so that latent print  examiners (LPEs) can decide immedia
 tely whether to proceed with the other steps  of ACE-V. We describe some o
 f these proposals that attempt to quantify the  "information content" of a
  latent print or of its individual features  ("minutiae") and describe ini
 tial efforts aimed at assessing their association  with accuracy\, using f
 irst NIST&#39\;s public SD27a latent fingerprint database  containing prin
 ts judged by "experts" as "good\," "bad\," or "ugly." One proposed  metric
 \, based on gradients to determine the clarity of the minutiae\, correlate
 s  well with the general classification and thus can serve as an objective
 \, vs  subjective\, measure of information content.&nbsp\;
LOCATION:Seminar Room 1\, Newton Institute
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