The first function of the prototype system is to receive input images of broken or torn pieces photographed on a distinctive background. The system then extracts the contour of each piece and lets the user choose a segment of one of the contours as a target for matching. The system then conducts a search on the other contours, finds potential matches, and orders these candidates according to the quality of their fit with the target. Using the statistics from the second function of the prototype, the user can estimate the potential error rates of each candidate matching pair. The user can find the probabilities of a match being correct or incorrect for any specific value of matching error. Thus, it can compare matching pairs and determine which is the best evidence, even among different sizes or materials. This project used the second function in collecting statistics for different fracture-line lengths of three materials: silicon, metal coated paper, and Perspex. The total error rates (false negative plus false positive) for 1 cm matches were 0.007 for the silicon, 0.37 for the paper, and 0.4 for the Perspex. This function enables experts to present their findings to a court in a more quantitative manner. Extensive figures and tables, 6 references, and three appendixes with supplementary data
Downloads
Similar Publications
- Frontal sinus morphology as a forensic identification method: a comparison of intra-observer scores between scout radiographs and 3D skull images
- Data fusion from infrared, elemental, MSP and Raman for maximizing the efficiency of the forensic examination of paint evidence
- Prior bleaching of virgin or colored hair has minimal impact on SERS-based hair dye identification