Lexical Search Approach for Character-String Recognition
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Information Capturing Camera and Developmental Issues
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Progress in Camera-Based Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Camera-Typing Interface for Ubiquitous Information Services
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
A robust method for recognition of monetary amount printed by checkwriter
Systems and Computers in Japan
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A crowdsourcing based mobile image translation and knowledge sharing service
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Text localization and recognition in complex scenes using local features
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
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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.