A procedure for automated bullet signature identification is described based on topography measurements using confocal microscopy and correlation calculation.
Automated search and retrieval systems are widely used for comparison of firearms evidence. In this study, 48 bullets fired from six different barrel manufacturers are classified into different groups based on the width class characteristic for each land engraved area of the bullets. Then the cross-correlation function is applied both for automatic selection of the effective correlation area, and for the extraction of a 2D bullet profile signature. Based on the cross-correlation maximum values, a list of top ranking candidates against a ballistics signature database of bullets fired from the same model firearm is developed. The correlation results show a 9.3 percent higher accuracy rate compared with a currently used commercial system based on optical reflection. This suggests that correlation results can be improved using the sequence of methods described here. Figures, tables, and references (Published Abstract)
Downloads
Similar Publications
- Development of a spectral X-ray fluorescence database to strengthen the scientific foundations for the forensic analysis and interpretation of modern soda-lime glass
- NPS Discovery Q3 2025 Trend Reports: NPS Benzodiazepines, NPS Opioids, NPS Stimulants &
- Development of baseline survey of random presence of glass and paint for the interpretation of evidence in the US courts