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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Digit Classification on Signboards for Telephone Number Recognition
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
| ASCII Text | x | ||
| Takuma Yamaguchi, Yasuaki Nakano, Minoru Maruyama, Hidetoshi Miyao, Toshihiro Hananoi, "Digit Classification on Signboards for Telephone Number Recognition," Document Analysis and Recognition, International Conference on, vol. 1, pp. 359, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDAR.2003.1227689, author = {Takuma Yamaguchi and Yasuaki Nakano and Minoru Maruyama and Hidetoshi Miyao and Toshihiro Hananoi}, title = {Digit Classification on Signboards for Telephone Number Recognition}, journal ={Document Analysis and Recognition, International Conference on}, volume = {1}, year = {2003}, isbn = {0-7695-1960-1}, pages = {359}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227689}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Digit Classification on Signboards for Telephone Number Recognition SN - 0-7695-1960-1 SP EP A1 - Takuma Yamaguchi, A1 - Yasuaki Nakano, A1 - Minoru Maruyama, A1 - Hidetoshi Miyao, A1 - Toshihiro Hananoi, PY - 2003 KW - null VL - 1 JA - Document Analysis and Recognition, International Conference on ER - | |||
This paper presents a digits classification system to recognize telephone numbers written on signboards. Candidate regions of digits are extracted from an image through edge extraction, enhancement and labeling. Since the digits in the images often have skew and slant, the digits are recognized after the skew and slant correction. To correct the skew, Hough transform is used, and the slant is corrected using the method of circumscribing digits with tilted rectangles. In experiments, we tested a total of 1,332 images of signboards with 11,939 digits. We obtained a digit extraction rate of 99.2% and a correct digit recognition rate of 98.8%.
Citation:
Takuma Yamaguchi, Yasuaki Nakano, Minoru Maruyama, Hidetoshi Miyao, Toshihiro Hananoi, "Digit Classification on Signboards for Telephone Number Recognition," icdar, vol. 1, pp.359, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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