Bullet Identification Method Based on Tool Mark Emphasis and Matching with Segmented Images

Abstract

Firearm identification is an intensive and time-consuming process that requires physical interpretation of forensic ballistics evidence. Specifying the corresponding striations between bullets is expected to be helpful in this type of identification. This paper presents a method that acquires unrolled images of the bullet surfaces and emphasizes the striation of the tool mark with a Hessian matrix and finally aligns the two unrolled images based on correlation map integration. The effectiveness of the method is confirmed through experiments.