By Topic

Automatic Recognition of Shoeprints using Fourier-Mellin Transform

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Gueham, M. ; Sch. Electr. Eng. & Comput. Sci., Queen''s Univ. of Belfast, Belfast ; Bouridane, A. ; Crookes, D. ; Nibouche, O.

This paper proposes a technique for automatically recognising shoeprint images for use in forensic science. The method uses the Fourier-Mellin transform to produce translation, rotation and scale invariant features. A two dimensional correlation is employed as the similarity metric for the classification process. Experiments were conducted on a database of 500 different shoeprint images representing a part of available shoes on the market. In order to test the robustness of the method, test images including different perturbations such as noise addition and cropping (partial shoeprints) were generated. Experimental results show that the proposed method is very practical providing attractive performance when processing distorted shoeprint images.

Published in:

Adaptive Hardware and Systems, 2008. AHS '08. NASA/ESA Conference on

Date of Conference:

22-25 June 2008