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Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science
March 2005 (vol. 27 no. 3)
pp. 341-350
ASCII Text
x 
 
Philip de Chazal, John Flynn, Richard B. Reilly, "Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 341-350, March, 2005.
 
 
BibTex
x
 
@article{ 10.1109/TPAMI.2005.48,
author = {Philip de Chazal and John Flynn and Richard B. Reilly},
title = {Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {27},
number = {3},
issn = {0162-8828},
year = {2005},
pages = {341-350},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2005.48},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science
IS - 3
SN - 0162-8828
SP341
EP350
EPD - 341-350
A1 - Philip de Chazal,
A1 - John Flynn,
A1 - Richard B. Reilly,
PY - 2005
KW - Image processing
KW - forensic science
KW - shoeprint
KW - shoe wear
KW - partial-print
KW - automated system
KW - Fourier transform.
VL - 27
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
The development of a system for automatically sorting a database of shoeprint images based on the outsole pattern in response to a reference shoeprint image is presented. The database images are sorted so that those from the same pattern group as the reference shoeprint are likely to be at the start of the list. A database of 476 complete shoeprint images belonging to 140 pattern groups was established with each group containing two or more examples. A panel of human observers performed the grouping of the images into pattern categories. Tests of the system using the database showed that the first-ranked database image belongs to the same pattern category as the reference image 65 percent of the time and that a correct match appears within the first 5 percent of the sorted images 87 percent of the time. The system has translational and rotational invariance so that the spatial positioning of the reference shoeprint images does not have to correspond with the spatial positioning of the shoeprint images of the database. The performance of the system for matching partial-prints was also determined.

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Index Terms:
Image processing, forensic science, shoeprint, shoe wear, partial-print, automated system, Fourier transform.
Citation:
Philip de Chazal, John Flynn, Richard B. Reilly, "Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 341-350, March 2005, doi:10.1109/TPAMI.2005.48
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