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Proceedings Paper

Decision-fusion-based automated drill bit toolmark correlator
Author(s): Brett C. Jones; Michael J. Press; Joseph R. Guerci
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Paper Abstract

This paper describes a recent study conducted to investigate the reproducibility of toolmarks left by drill bits. This paper focuses on the automated analysis aspect of the study, and particularly the advantages of using decision fusion methods in the comparisons. To enable the study to encompass a large number of samples, existing technology was adapted to the task of automatically comparing the test impressions. Advanced forensic pattern recognition algorithms that had been developed for the comparison of ballistic evidence in the DRUGFIRETM system were modified for use in this test. The results of the decision fusion architecture closely matched those obtained by expert visual examination. The study, aided by the improved pattern recognition algorithm, showed that drill bit impressions do contain reproducible marks. In a blind test, the DRUGFIRE pattern recognition algorithm, enhanced with the decision fusion architecture, consistently identified the correct bit as the source of the test impressions.

Paper Details

Date Published: 4 February 1999
PDF: 11 pages
Proc. SPIE 3576, Investigation and Forensic Science Technologies, (4 February 1999); doi: 10.1117/12.334536
Show Author Affiliations
Brett C. Jones, Mnemonics Systems, Inc. (United States)
Michael J. Press, Mnemonics Systems, Inc. (United States)
Joseph R. Guerci, Mnemonics Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 3576:
Investigation and Forensic Science Technologies
Kathleen Higgins, Editor(s)

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