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Investigation of Ballistic Evidence through an Automatic Image Analysis and Identification System
Author(s) -
Kara Ilker
Publication year - 2016
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/1556-4029.13073
Subject(s) - identification (biology) , cartridge , matching (statistics) , artificial intelligence , intersection (aeronautics) , computer science , ranking (information retrieval) , poison control , computer vision , crime scene , image (mathematics) , pattern recognition (psychology) , psychology , engineering , mathematics , medicine , statistics , criminology , medical emergency , biology , botany , aerospace engineering , mechanical engineering
Abstract Automated firearms identification ( AFI ) systems contribute to shedding light on criminal events by comparison between different pieces of evidence on cartridge cases and bullets and by matching similar ones that were fired from the same firearm. Ballistic evidence can be rapidly analyzed and classified by means of an automatic image analysis and identification system. In addition, it can be used to narrow the range of possible matching evidence. In this study conducted on the cartridges ejected from the examined pistol, three imaging areas, namely the firing pin impression, capsule traces, and the intersection of these traces, were compared automatically using the image analysis and identification system through the correlation ranking method to determine the numeric values that indicate the significance of the similarities. These numerical features that signify the similarities and differences between pistol makes and models can be used in groupings to make a distinction between makes and models of pistols.