• DocumentCode
    423784
  • Title

    Stochastic curve extraction model for chart auto-recognition

  • Author

    Wang, Kai ; Shi, Guang-Shun ; Wang, Qing-Ren

  • Author_Institution
    Inst. of Machine Intelligence, Nankai Univ., Tianjin, China
  • Volume
    6
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3611
  • Abstract
    Charts are widely applied to engineering, design, analysis, forecast, medicine and other fields. Chart auto-recognition can reduce manual work greatly. Being different from previous works, which only can process fixed characteristic symbols, a model based on foreground/background separation, which can process stochastic curve, is presented in this paper.
  • Keywords
    image recognition; pattern recognition; stochastic processes; chart autorecognition; fixed characteristic symbols; stochastic curve extraction; Application software; Data mining; Design engineering; Machine intelligence; Mathematical model; Mathematics; Object detection; Pattern recognition; Spine; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1380421
  • Filename
    1380421
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=423784