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Proceedings Paper

Evaluation of contents-based image retrieval methods for a database of logos on drug tablets
Author(s): Zeno J. Geradts; Huub Hardy; Anneke Poortman; Jurrien Bijhold
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Paper Abstract

In this research an evaluation has been made of the different ways of contents based image retrieval of logos of drug tablets. On a database of 432 illicitly produced tablets (mostly containing MDMA), we have compared different retrieval methods. Two of these methods were available from commercial packages, QBIC and Imatch, where the implementation of the contents based image retrieval methods are not exactly known. We compared the results for this database with the MPEG-7 shape comparison methods, which are the contour-shape, bounding box and region-based shape methods. In addition, we have tested the log polar method that is available from our own research.

Paper Details

Date Published: 21 February 2001
PDF: 10 pages
Proc. SPIE 4232, Enabling Technologies for Law Enforcement and Security, (21 February 2001); doi: 10.1117/12.417574
Show Author Affiliations
Zeno J. Geradts, Netherlands Forensic Institute (Netherlands)
Huub Hardy, Netherlands Forensic Institute (Netherlands)
Anneke Poortman, Netherlands Forensic Institute (Netherlands)
Jurrien Bijhold, Netherlands Forensic Institute (Netherlands)

Published in SPIE Proceedings Vol. 4232:
Enabling Technologies for Law Enforcement and Security
Simon K. Bramble; Lenny I. Rudin; Simon K. Bramble; Edward M. Carapezza; Lenny I. Rudin, Editor(s)

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