OCR Fonts Revisited for Camera-Based Character Recognition

  • Authors:
  • Seiichi Uchida;Masakazu Iwamura;Shinichiro Omachi;Koichi Kise

  • Affiliations:
  • Kyushu Univ., Japan;Osaka Pref. Univ., Japan;Tohoku Univ., Japan;Osaka Pref. Univ., Japan

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
  • Year:
  • 2006

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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.