• Corpus ID: 235377405

Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments

  title={Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments},
  author={Geoffrey Z. Thompson and Bishoy M. Dawood and Tianyu Yu and Barbara K. Lograsso and John D. Vanderkolk and Ranjan Maitra and William Q. Meeker and Ashraf Bastawros},
  journal={arXiv: Applications},
Fractured metal fragments with rough and irregular surfaces are often found at crime scenes. Current forensic practice visually inspects the complex jagged trajectory of fractured surfaces to recognize a ``match'' using comparative microscopy and physical pattern analysis. We developed a novel computational framework, utilizing the basic concepts of fracture mechanics and statistical analysis to provide quantitative match analysis for match probability and error rates. The framework employs the… 
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