Content-based emblem retrieval using Zernike moments

  • Authors:
  • Ezequiel Cura;Mariano Tepper;Marta Mejail

  • Affiliations:
  • Departamento de Computacion, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina;Departamento de Computacion, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina;Departamento de Computacion, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina

  • Venue:
  • CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
  • Year:
  • 2010

Quantified Score

Hi-index 0.01

Visualization

Abstract

The problem of content-based image retrieval is becoming essential in many real-world applications, mostly due to the growth in size of modern image databases. In particular, this work addresses the retrieval of trademark emblems, which is key for detecting trademark infringement. A common approach that proved suitable for this task, is to encode emblems using shape descriptors and Zernike complex moments. This work focuses on their study, proposing a two-fold contribution. First, we present some modifications to Zernike complex moments and then we explore the use of different comparison metrics. Both have shown to report improvements in retrieved results and in execution time.