Industrial OCR approaches: architecture, algorithms, and adaptation techniques

István Marosi

doi:10.1117/12.713912

29 January 2007 Industrial OCR approaches: architecture, algorithms, and adaptation techniques

István Marosi

Proceedings Volume 6500, Document Recognition and Retrieval XIV; 650002 (2007) https://doi.org/10.1117/12.713912
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

István Marosi "Industrial OCR approaches: architecture, algorithms, and adaptation techniques", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650002 (29 January 2007); https://doi.org/10.1117/12.713912

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