Research on criminal tool wear based on multi-scale fractal feature of the texture image

In forensic science, the wear information of the criminal tool can provide the relevant cues. So far, the researches about how to analyze the wear of criminal tool are still in the initial stage. There is a strong relationship between the degree of wear for the cutting tool such as pliers and the geometry imparted by the tool on to the wire surface. It is more practical and helpful to analyze the mark surface left in the crime scene for getting the information about the tool and the criminal. This paper discusses our work, which involves multi-scale fractal analysis for the texture of the mark surface. Multi-scale fractal features of the mark texture images are computed for analyzing the wear of the tool. Our result shows that the multi-scale fractal features can be effectively used to analyze the wear of the cutting tool.