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
Link To Document :
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