Industrial OCR approaches : architecture, algorithms and adaptation techniques
Identifieur interne : 000F36 ( Main/Exploration ); précédent : 000F35; suivant : 000F37Industrial OCR approaches : architecture, algorithms and adaptation techniques
Auteurs : Istvan Marosi [Hongrie]Source :
- Proceedings of Electronic Imaging Science and Technology
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Intelligence artificielle.
English descriptors
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Abstract
Optical Character Recognition is much more than character classification. An industrial OCR application combines algorithms studied in detail by different researchers in the area of image processing, pattern recognition, machine learning, language analysis, document understanding, data mining, and other, artificial intelligence domains. There is no single perfect algorithm for any of the OCR problems, so modem systems try to adapt themselves to the actual features of the image or document to be recognized. This paper describes the architecture of a modem OCR system with an emphasis on this adaptation process.
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Le document en format XML
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