Identification of ancient coins based on fusion of shape and local features

Identification of ancient coins based on fusion of shape and local features

Content
Grafik
Abstract

We present a vision-based approach to ancient coins' identification. The approach is a two-stage procedure. In the first stage an invariant shape description of the coin edge is computed and matching based on shape is performed. The second stage uses preselection by the first stage in order to refine the matching using local descriptors. Results for different descriptors and coin sides are combined using naive Bayesian fusion. Identification rates on a comprehensive data set of 2400 images of ancient coins are on the order of magnitude of 99.

Grafik Top
Authors
  • Huber-Mörk, Reinhold
  • Zambanini, Sebastian
  • Zaharieva, Maia
  • Kampel, Martin
Grafik Top
Shortfacts
Category
 Journal Paper
Divisions
 Multimedia Information Systems
Journal or Publication Title
 Machine Vision and Applications
Page Range
 pp. 983-994
Number
 6
Volume
 22
Date
 2011
Export
Grafik Top
Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
EPrints Logo
CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.