DocumentCode
3057927
Title
Teaching a computer to read
Author
Nagy, George
Author_Institution
Rensselaer Polytech. Inst., Troy, NY, USA
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
225
Lastpage
229
Abstract
Current OCR devices generate too many errors due to missegmentation and multifont confusion. Some of these errors can be avoided or corrected though greater use of linguistic context and local shape consistency in printed matter. To teach machines to read, OCR designers should allow their devices to modify their internal parameters according to information gained through a family of internal feedback loops
Keywords
computational linguistics; document image processing; learning systems; optical character recognition; OCR; linguistic context; local shape consistency; machine learning; optical character recognition; Character recognition; Computer errors; Education; Error correction; Feedback loop; Humans; Optical character recognition software; Optical design; Optical devices; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201760
Filename
201760
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