• DocumentCode
    1204381
  • Title

    Image-Based Retrieval and Identification of Ancient Coins

  • Author

    Kampel, Martin ; Huber-Mork, Reinhold ; Zaharieva, Maia

  • Author_Institution
    Vienna Univ. of Technol., Vienna
  • Volume
    24
  • Issue
    2
  • fYear
    2009
  • Firstpage
    26
  • Lastpage
    34
  • Abstract
    Reliable object identification is an essential task in the process of recognizing and tracing stolen cultural heritage. We investigate the feasibility of using computer-aided identification of ancient coins to search for a given coin on the Internet or in a digital repository. Because a coin´s shape is a unique feature, we first apply a shape descriptor to capture its characteristics. Then, we use local features to describe the die information. The approach presented here shows promise for reliably identifying objects in the area of cultural heritage.
  • Keywords
    Internet; history; image retrieval; Internet; ancient coins; computer-aided identification; cultural heritage; digital repository; image-based identification; image-based retrieval; Artificial intelligence; Cameras; Cultural differences; Image resolution; Image retrieval; Image segmentation; Lighting; Pixel; Shape measurement; Testing; coin identification; local features; object identification; shape descriptors;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2009.29
  • Filename
    4804821