• DocumentCode
    3061040
  • Title

    MCR expression of document images based on maximum matching of bipartite graph

  • Author

    Douniwa, Ken´ichi ; Chinveeraphan, Supoj ; Sato, Makoto

  • Author_Institution
    Precision & Intelligence Lab., Tokyo Inst. of Technol., Yokohama, Japan
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    117
  • Lastpage
    121
  • Abstract
    Proposes a new method for expressing binary images, named minimum covering run (MCR) expression. The proposed technique adapted from horizontal-vertical run expression, is derived by selecting suitable runs from horizontal and vertical run types which minimize the total number of runs that still represent the original images perfectly. It is shown that horizontal and vertical runs of binary image can be thought as partite sets of a bipartite graph. Consequently, the MCR expression that corresponds to maximum matching in the graph, can be found by using an algorithm solving this graph-theoretic problem. An efficient algorithm for the expression method is presented, and results show the validity of stroke extraction of information in document images
  • Keywords
    character recognition; document image processing; graph theory; binary images; bipartite graph; character recognition; document image processing; graph theory; horizontal-vertical run expression; minimum covering run expression; stroke extraction; Bipartite graph; Data mining; Image databases; Image segmentation; Laboratories; Management information systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201941
  • Filename
    201941