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Adapting the Chumbley Score to Match Striae on Land Engraved Areas (LEAs) of Bullets,
Authors:Ganesh Krishnan MSc  Heike Hofmann PhD
Institution:1. Department of Statistics, Iowa State University and CSAFE (Center for Statistics and Applications in Forensic Evidence), Iowa State University, 195 Durham, 613 Morril Road, Ames, IA, 50010 United StatesCorresponding author: Ganesh Krishnan, M.Sc. E‐mail:;2. Department of Statistics, Iowa State University and CSAFE (Center for Statistics and Applications in Forensic Evidence), Iowa State University, 195 Durham, 613 Morril Road, Ames, IA, 50010 United States
Abstract:The same‐source problem remains a major challenge in forensic toolmark and firearm examination. Here, we investigate the applicability of the Chumbley method (J Forensic Sci, 2018, 63, 849; J Forensic Sci, 2010, 55, 953) (10,12), developed for screwdriver markings, for same‐source identification of striations on bullet LEAs. The Hamby datasets 44 and 252 measured by NIST and CSAFE (high‐resolution scans) are used here. We provide methods to identify parameters that minimize error rates for matching of LEAs, and a remedial algorithm to alleviate the problem of failed tests, while increasing the power of the test and reducing error rates. For 85,491 land‐to‐land comparisons (84,235 known nonmatches and 1256 known matches), the adapted test does not provide a result in 176 situations (originally more than 500). The Type I and Type II error rates are 7.2% (6105 out of 84,235) and 21.4% (271 out of 1256), respectively. This puts the proposed method on similar footing as other single‐feature matching approaches in the literature.
Keywords:forensic science  toolmark  cross‐correlation  Mann–  Whitney U statistic  land engraved areas  algorithm  signatures  same‐source problem
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