Title :
OCR Fonts Revisited for Camera-Based Character Recognition
Author :
Uchida, Seiichi ; Iwamura, Masakazu ; Omachi, Shinichiro ; Kise, Koichi
Author_Institution :
Kyushu Univ.
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.891