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