• DocumentCode
    1580901
  • Title

    Detection of curved text path based on the fuzzy curve-tracing (FCT) algorithm

  • Author

    Yan, Hong

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    266
  • Lastpage
    270
  • Abstract
    Artistic documents often contain text along curved paths. Commonly used computer algorithms for text extraction, which only deal with text along straight lines, cannot be employed to analyze these artistic documents. In this paper, we solve this problem using the fuzzy curve-tracing algorithm. In our method, the character pixels are grouped based on the fuzzy c-means algorithm to reduce the amount of data. Then the cluster centers are connected to form the initial curve representing the text path. Finally the character pixels are clustered again under the constraint that the path must be smooth. Results from several experiments are presented to show the effectiveness of our method
  • Keywords
    character recognition; feature extraction; fuzzy logic; artistic documents; character pixels; cluster centers; computer algorithms; curved text path detection; fuzzy c-means algorithm; fuzzy curve tracing algorithm; fuzzy curve-tracing algorithm; text extraction; Algorithm design and analysis; Character recognition; Clustering algorithms; Data mining; Graphics; Histograms; Image analysis; Iterative algorithms; Optical character recognition software; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7695-1263-1
  • Type

    conf

  • DOI
    10.1109/ICDAR.2001.953796
  • Filename
    953796