This CSAFE Center Wide Meeting Webinar was presented by Eric Hare from Iowa State University on April 14, 2017.
Description:
CSAFE researchers at Iowa State University will discuss the advances they have made towards providing firearms examiners with an objective, quantifiable and standard approach to describe the degree of similarity observed between two bullets. Researchers will explain how 3D images of bullet signatures are being used to develop computer assisted algorithms to look at which features hold the most information and enable discrimination between samples. Progress towards developing a signature-based score that quantifies the differences between bullets will also be discussed.
Statistical and Algorithmic Approaches to Matching Bullets
Related Resources
Forensic Toolmark Comparisons
Forensic practitioners determine whether two marks were generated by the same tool by observing the 2D images of the marks using a comparison microscope and deciding whether the “surface contours…
Effect of Subclass Characteristics on Congruent Matching Cells (CMC) Algorithm
This presentation is a continuation of subclass characteristics present on consecutively manufactured breech face inserts. The objective is to assess manufacturing methods similar to those used by firearm manufacturers. It…
Diagnostic Tools for Automatic Cartridge Case Comparisons
The following was presented at the Association of Firearm and Tool Mark Examiners (AFTE) 2023, Austin, Texas, May 21-26, 2023. Copyright 2023, The Authors. Posted with permission of CSAFE.
A Study in Reproducibility: The Congruent Matching Cells Algorithm and cmcR Package
Scientific research is driven by our ability to use methods, procedures, and materials from previous studies and further research by adding to it. As the need for computationally-intensive methods to…