IVCVAPSep 24, 2021

Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas

arXiv:2109.11972v13 citations
Originality Incremental advance
AI Analysis

This provides a reliable quantitative method for forensic analysis of fractured evidence, though it appears incremental as it builds on existing forensic casting and statistical techniques.

The researchers developed a statistical framework to quantitatively match forensic evidence fragments by analyzing 3D microscopy images of fracture surfaces and their replicas, achieving correct classification with over 99.96% posterior probability. They also demonstrated that their replication technique accurately captures surface details at wavelengths exceeding 20μm, surpassing typical ranges for metallic alloys.

Fractured surfaces carry unique details that can provide an accurate quantitative comparison to support comparative forensic analysis of those fractured surfaces. In this study, a statistical analysis comparison protocol was applied to a set of 3D topological images of fractured surface pairs and their replicas to provide confidence in the quantitative statistical comparison between fractured items and their replicas. A set of 10 fractured stainless steel samples was fractured from the same metal rod under controlled conditions and were cast using a standard forensic casting technique. Six 3D topological maps with 50% overlap were acquired for each fractured pair. Spectral analysis was utilized to identify the correlation between topological surface features at different length scales of the surface topology. We selected two frequency bands over the critical wavelength (which is greater than two-grain diameters) for statistical comparison. Our statistical model utilized a matrix-variate-$t$ distribution that accounts for the image-overlap to model the match and non-match population densities. A decision rule was developed to identify the probability of matched and unmatched pairs of surfaces. The proposed methodology correctly classified the fractured steel surfaces and their replicas with a posterior probability of match exceeding 99.96%. Moreover, the replication technique shows the potential to accurately replicate fracture surface topological details with a wavelength greater than 20$μ$m, which far exceeds the range for comparison of most metallic alloys of 50-200$μ$m. The developed framework establishes the basis of forensic comparison of fractured articles and their replicas while providing a reliable quantitative statistical forensic comparison, utilizing fracture mechanics-based analysis of the fracture surface topology.

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