• DocumentCode
    2600511
  • Title

    OCR Fonts Revisited for Camera-Based Character Recognition

  • Author

    Uchida, Seiichi ; Iwamura, Masakazu ; Omachi, Shinichiro ; Kise, Koichi

  • Author_Institution
    Kyushu Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1134
  • Lastpage
    1137
  • Abstract
    In order to realize accurate camera-based character recognition, machine-readable class information is embedded into each character image. Specifically, each character image is printed with a pattern which comprises five stripes and the cross ratio derived from the pattern represents class information. Since the cross ratio is a projective invariant, the class information is extracted correctly regardless of camera angle. The results of simulation experiments showed that recognition rates over 99% were obtained by the extracted cross ratio under heavy projective distortions
  • Keywords
    feature extraction; optical character recognition; OCR fonts; camera-based character recognition; class information extraction; machine-readable class information; Cameras; Character recognition; Data mining; Image resolution; Ink; Optical character recognition software; Optimized production technology; Pattern recognition; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.891
  • Filename
    1699409