Automatic Matching of Bullet Land Impressions Hare, Eric Hofmann, Heike Carriquiry, Alicia Carriquiry, Alicia
dc.contributor.department Center for Statistics and Applications in Forensic Evidence 2020-02-18T19:00:35.000 2020-06-30T01:58:15Z 2020-06-30T01:58:15Z Sun Jan 01 00:00:00 UTC 2017 2020-02-17 2017-01-01
dc.description.abstract <p>In 2009, the National Academy of Sciences published a report questioning the scientific validity of many forensic methods including firearm examination. Firearm examination is a forensic tool used to help the court determine whether two bullets were fired from the same gun barrel. During the firing process, rifling, manufacturing defects, and impurities in the barrel create striation marks on the bullet. Identifying these striation markings in an attempt to match two bullets is one of the primary goals of firearm examination. We propose an automated framework for the analysis of the 3D surface measurements of bullet land impressions, which transcribes the individual characteristics into a set of features that quantify their similarities. This makes identification of matches easier and allows for a quantification of both matches and matchability of barrels. The automatic matching routine we propose manages to (a) correctly identify land impressions (the surface between two bullet groove impressions) with too much damage to be suitable for comparison, and (b) correctly identify all 10,384 land-to-land matches of the James Hamby study (Hamby, Brundage and Thorpe [<em>AFTE Journal</em> <strong>41</strong> (2009) 99–110]).</p>
dc.description.comments <p>This is a manuscript of an article published as Hare, Eric, Heike Hofmann, and Alicia Carriquiry. "Automatic matching of bullet land impressions." <em>The Annals of Applied Statistics</em> 11, no. 4 (2017): 2332-2356. Posted with permission from CSAFE.</p>
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dc.identifier.articleid 1002
dc.identifier.contextkey 16566665
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dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:24:51 UTC 2022
dc.source.uri 10.1214/17-AOAS1080
dc.subject.disciplines Forensic Science and Technology
dc.title Automatic Matching of Bullet Land Impressions
dc.type article
dc.type.genre article
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