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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
OCR Fonts Revisited for Camera-Based Character Recognition
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Seiichi Uchida, Kyushu Univ., Japan
Masakazu Iwamura, Osaka Pref. Univ., Japan
Shinichiro Omachi, Tohoku Univ., Japan
Koichi Kise, Osaka Pref. Univ., Japan
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.
Citation:
Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise, "OCR Fonts Revisited for Camera-Based Character Recognition," icpr, vol. 2, pp.1134-1137, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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