earticle

영어

This study investigates the statistical identity of 3D toolmarks using two types of screwdrivers. Toolmarks were created on dental wax, captured using 2D and 3D microscopes, and analyzed with MATLAB to calculate cross-correlation coefficients and likelihood ratios. Results show that same-tool toolmarks exhibit cross-correlation coefficients centered around 0.9, while different-tool toolmarks center around 0.4. Both 2D and 3D analyses followed a Weibull distribution, confirmed by goodness-of-fit tests. Likelihood ratio calculations demonstrated distinct separation between same-tool and different-tool marks, with 3D analysis showing slightly overlapping ranges due to tool shape-induced depth variations. The study confirms the efficacy of 3D microscopy for toolmark identification, with potential for enhanced 3D analysis through refined techniques and broader data accumulation.