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

Huber-Mörk, Reinhold ; Zambanini, Sebastian ; Zaharieva, Maia ; Kampel, Martin

Machine Vision and Applications, 2011, Vol.22(6), pp.983-994 [Periódico revisado por pares]

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  • Título:
    Identification of ancient coins based on fusion of shape and local features
  • Autor: Huber-Mörk, Reinhold ; Zambanini, Sebastian ; Zaharieva, Maia ; Kampel, Martin
  • Assuntos: Coin identification ; Ancient coins ; Shape matching ; Local features ; Fusion
  • É parte de: Machine Vision and Applications, 2011, Vol.22(6), pp.983-994
  • Descrição: 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%.
  • Idioma: Inglês

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