• DocumentCode
    3169782
  • Title

    A legend-driven geographic symbol recognition system

  • Author

    Samet, Hanan ; Soffer, Aya

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    350
  • Abstract
    A system is presented that utilizes the symbolic knowledge found in the legend of the map to drive geographic symbol recognition. The geographic symbol layer(s) of the map are first scanned. The legend of the map is located and segmented. The geographic symbols are identified and their semantic meaning is attached to them. The geographical symbols in input maps are classified using statistical pattern recognition. An experimental study was conducted on a large amount of data with recognition rates of over 95%
  • Keywords
    geographic information systems; feature extraction; legend-driven geographic symbol recognition system; map legend; segmentation; semantic meaning; statistical pattern recognition; Automation; Cities and towns; Computer science; Data mining; Educational institutions; Geographic Information Systems; Hospitals; Pattern recognition; Pixel; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6270-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576934
  • Filename
    576934