• DocumentCode
    1582951
  • Title

    A recursive analysis for form cell recognition

  • Author

    Shinjo, Hiroshi ; Hadano, Eiichi ; Marukawa, Katsumi ; Shima, Yoshihiro ; Sako, Hiroshi

  • Author_Institution
    Central Res. Lab., Hitachi Ltd., Japan
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    694
  • Lastpage
    698
  • Abstract
    It is very difficult to analyze form structures because of breaks in lines and additional noises in the form image. This paper focuses on cell recognition in low quality form images. The recognition method has two features to achieve robustness in cell recognition. One is grid representation using several types of intersection and the terminal points of the frame lines. The other is the recursive modification of the representation. A new representation is created according to the determination of the breaks in the line and the hypothesized location of the missed intersections by using the previous representation. The modification is processed recursively until the representation has perfect consistency and all form cells are detected. In an experiment using 1565 form samples, all cells in 1538 samples (98.3% of 1565 samples) were recognized correctly by this method
  • Keywords
    business forms; document image processing; optical character recognition; OCR; business forms; cell recognition; document image processing; experiments; form image; frame lines; grid representation; intersection analysis; low-quality images; Character recognition; Documentation; Government; Image analysis; Image recognition; Laboratories; Noise robustness;
  • 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.2001.953879
  • Filename
    953879