The image processing handbook (2nd ed.)
The image processing handbook (2nd ed.)
Human Detection using Geometrical Pixel Value Structures
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Automated encoding of footwear patterns for fast indexing
Image and Vision Computing
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Shoeprints found on the crime scene are useful to understand the crime dynamics. Several semi-automatic and automatic systems have already been proposed to identify the make and model of the shoe that left the mark on the crime scene, however these systems have been tested on simulated shoe marks, i.e. not coming from real crime scene but artificially synthesized with different noise adding techniques. In this paper, we propose a novel descriptor, based on the Mahalanobis distance, to retrieve the footwear that produced the shoe mark. Differently from others, the performance test of the selected descriptor is done on shoe marks coming from real crime scenes, and the results are promising.