• DocumentCode
    311105
  • Title

    Characters string recognition on maps, a method for high level reconstruction

  • Author

    Pierrot-Deseilligny, Marc ; Le Men, Hervé ; Stamon, Georges

  • Author_Institution
    IGN/DT/MATIS, France
  • Volume
    1
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    249
  • Abstract
    We present a complete method for character string extraction that is specifically adapted to a cartographic context (orientation,…). We emphasize a high level reconstruction process that: (1) resolves the ambiguities remaining from pattern analysis; (2) structures the characters into strings. The knowledge used by this process is the coherence of strings to be constructed (e.g. in orientation, scale, fonts…). We formalize the problem in the most general way and then admit two simplifying hypotheses that transform the problem into a graph optimization problem. The method implemented for solving this problem uses different techniques such as: graph theory, dynamic programming, heuristic, combinatorial exploration…. The results seem sufficiently good for an industrial application
  • Keywords
    cartography; character recognition; dynamic programming; feature extraction; graph theory; image reconstruction; knowledge based systems; string matching; cartographic context; character string extraction; combinatorial exploration; dynamic programming; graph optimization problem; graph theory; heuristics; high level reconstruction process; industrial application; maps; pattern analysis; simplifying hypotheses; string coherence; string recognition; Character recognition; Data mining; Dynamic programming; Geographic Information Systems; Graph theory; Histograms; Humans; Optical character recognition software; Pattern analysis; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.598987
  • Filename
    598987