• DocumentCode
    2629031
  • Title

    A new method for the segmentation of mixed handprinted Chinese/English characters

  • Author

    Kuo, Hsing-Hung ; Wang, Jhing-Fa

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    1993
  • fDate
    20-22 Oct 1993
  • Firstpage
    810
  • Lastpage
    813
  • Abstract
    Describes a new method to segment mixed handprinted Chinese/English characters. First, connected component analysis is performed on each text line. A pre-merging step combines those vertical-neighboring bounding rectangles into a new one, but leaves alone the horizontal-neighboring ones which may belong to different characters. Then the feature-complexity analysis of each bounding rectangle is used to classify it into an alphanumeric character, an isolated Chinese radical or a complete Chinese character. Finally, based on the recognition result of an isolated Chinese radical and heuristic formation rules, an isolated Chinese radical may be further combined with adjacent bounded rectangle(s) to make one single character rectangle for a separate character. Implementation and experimental results of the proposed method are described
  • Keywords
    character recognition; document image processing; handwriting recognition; heuristic programming; image segmentation; alphanumeric character; character segmentation; complete Chinese character; connected component analysis; feature-complexity analysis; heuristic formation rules; isolated Chinese radical; mixed handprinted Chinese/English characters; pre-merging step; text line; vertical-neighboring bounding rectangles; Character recognition; Image analysis; Image segmentation; Merging; Pattern recognition; Pixel; Testing; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
  • Conference_Location
    Tsukuba Science City
  • Print_ISBN
    0-8186-4960-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1993.395614
  • Filename
    395614