Visual Clustering of Trademarks Using the Self-Organizing Map

  • Authors:
  • Mustaq Hussain;John P. Eakins;Graham Sexton

  • Affiliations:
  • -;-;-

  • Venue:
  • CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes the experiments used to investigate ways in which digitised trademark images can be visually clustered on a 2-D surface, using the topological properties of the self-organizing map. Experiments were carried out on a set of original and edge detected binary trademark images, as well as their moment invariants, angular radial transformations and wavelet feature vectors. A radial based precision-recall measure was also used to evaluate the results objectively. Initial results are encouraging.