Japanese / English


論文の言語 英語
著者 Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi and Koichi Kise
論文名 OCR Fonts Revisited for Camera-Based Character Recognition
論文誌名 Proc. of the 18th International Conference of Pattern Recognition (ICPR2006)
Vol. 2
ページ pp.1134-1137
年月 2006年8月
要約 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.