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- W2068562442 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 DRUGFIRE<SUP>TM</SUP> 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." @default.
- W2068562442 created "2016-06-24" @default.
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- W2068562442 date "1999-02-04" @default.
- W2068562442 modified "2023-09-23" @default.
- W2068562442 title "<title>Decision-fusion-based automated drill bit toolmark correlator</title>" @default.
- W2068562442 doi "https://doi.org/10.1117/12.334536" @default.
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