Shape feature matching for trademark image retrieval

  • Authors:
  • John P. Eakins;K. Jonathan Riley;Jonathan D. Edwards

  • Affiliations:
  • School of Informatics, University of Northumbria, Newcastle, UK;School of Informatics, University of Northumbria, Newcastle, UK;School of Informatics, University of Northumbria, Newcastle, UK

  • Venue:
  • CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
  • Year:
  • 2003

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Abstract

Shape retrieval from image databases is a complex problem. This paper reports an investigation on the comparative effectiveness of a number of different shape features (including those included in the recent MPEG-7 standard) and matching techniques in the retrieval of multi-component trademark images. Experiments were conducted within the framework of the ARTISAN shape retrieval system, and retrieval effectiveness assessed on a database of over 10 000 images, using 24 queries and associated ground truth supplied by the UK Patent Office. Our results show clearly that multi-component matching can give better results than whole-image matching. However, only minor differences in retrieval effectiveness were found between different shape features or distance measures, suggesting that a wide variety of shape feature combinations and matching techniques can provide adequate discriminating power for effective retrieval.