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Proceedings Paper

Industrial OCR approaches: architecture, algorithms, and adaptation techniques
Author(s): István Marosi
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Paper 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 modern systems try to adapt themselves to the actual features of the image or document to be recognized. This paper describes the architecture of a modern OCR system with an emphasis on this adaptation process.

Paper Details

Date Published: 29 January 2007
PDF: 10 pages
Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650002 (29 January 2007); doi: 10.1117/12.713912
Show Author Affiliations
István Marosi, Nuance-Recognita Corp. (Hungary)

Published in SPIE Proceedings Vol. 6500:
Document Recognition and Retrieval XIV
Xiaofan Lin; Berrin A. Yanikoglu, Editor(s)

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