New statistical method for multi-font printed Tibetan/English OCR
Identifieur interne : 001624 ( Main/Exploration ); précédent : 001623; suivant : 001625New statistical method for multi-font printed Tibetan/English OCR
Auteurs : HUA WANG [République populaire de Chine] ; XIAOQING DING [République populaire de Chine]Source :
- SPIE proceedings series [ 1017-2653 ] ; 2004.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Méthode statistique, Numérisation.
English descriptors
Abstract
Tibetan optical character recognition (OCR) system plays a crucial role in the Chinese multi-language information processing system. This paper proposed a new statistical method to perform multi-font printed Tibetan/English character recognition. A robust Tibetan character recognition kernel is elaborately designed. Incorporating with previous English character recognition techniques, the recognition accuracy on a test set containing 206,100 multi-font printed characters reaches 99.67%, which shows the validity of the proposed method.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000531
- to stream PascalFrancis, to step Curation: 000259
- to stream PascalFrancis, to step Checkpoint: 000469
- to stream Main, to step Merge: 001680
- to stream Main, to step Curation: 001624
Le document en format XML
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