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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Camera-based Kanji OCR for Mobile-phones: Practical Issues
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Masashi Koga, Ryuji Mine, Tatsuya Kameyama, Toshikazu Takahashi, Masahiro Yamazaki, Teruyuki Yamaguchi, "Camera-based Kanji OCR for Mobile-phones: Practical Issues," Document Analysis and Recognition, International Conference on, pp. 635-639, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.65,
author = {Masashi Koga and Ryuji Mine and Tatsuya Kameyama and Toshikazu Takahashi and Masahiro Yamazaki and Teruyuki Yamaguchi},
title = {Camera-based Kanji OCR for Mobile-phones: Practical Issues},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {635-639},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.65},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Camera-based Kanji OCR for Mobile-phones: Practical Issues
SN - 1520-5263
SP635
EP639
A1 - Masashi Koga,
A1 - Ryuji Mine,
A1 - Tatsuya Kameyama,
A1 - Toshikazu Takahashi,
A1 - Masahiro Yamazaki,
A1 - Teruyuki Yamaguchi,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Masashi Koga, Hitachi Central Research Laboratory, Tokyo, Japan
Ryuji Mine, Hitachi Central Research Laboratory, Tokyo, Japan
Tatsuya Kameyama, Hitachi Central Research Laboratory, Tokyo, Japan
Toshikazu Takahashi, Hitachi Central Research Laboratory, Tokyo, Japan
Masahiro Yamazaki, Hitachi Ubiquitous System Platform R&D Laboratory, Yokohama, Japan
Teruyuki Yamaguchi, Hitachi-Omron Terminal Solutions, Corp., Owariasahi, Japan
A camera-based optical character reader (OCR) for Japanese Kanji characters was implemented on a mobile-phone. This OCR has three key features. The first is discriminative feature extraction (DFE) which enables a character classifier needing only small memory size. The second is a word-segmentation method specially designed for looking up Japanese words in a dictionary. The third feature is a GUI suitable for a mobile-phone. A prototype mobile-phone Kanji OCR was constructed and experimentally tested. Recognition accuracy of over 95% was obtained under the best conditions, which shows the potential of our prototype as a new type of electronic dictionary.
Citation:
Masashi Koga, Ryuji Mine, Tatsuya Kameyama, Toshikazu Takahashi, Masahiro Yamazaki, Teruyuki Yamaguchi, "Camera-based Kanji OCR for Mobile-phones: Practical Issues," icdar, pp.635-639, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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