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» Text Degradations and OCR Training
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ICDAR
2005
IEEE
14 years 1 months ago
Text Degradations and OCR Training
Printing and scanning of text documents introduces degradations to the characters which can be modeled. Interestingly, certain combinations of the parameters that govern the degra...
Elisa H. Barney Smith, Tim L. Andersen
DL
1999
Springer
181views Digital Library» more  DL 1999»
13 years 12 months ago
Quality of OCR for Degraded Text Images
Commercial OCR packages work best with highquality scanned images. They often produce poor results when the image is degraded, either because the original itself was poor quality,...
Roger T. Hartley, Kathleen Crumpton
LREC
2010
141views Education» more  LREC 2010»
13 years 9 months ago
A Game-based Approach to Transcribing Images of Text
We present a methodology that takes as input scanned documents of typed or hand-written text, and produces transcriptions of the text as output. Instead of using OCR technology, t...
Khalil Dahab, Anja Belz
ICDAR
2003
IEEE
14 years 1 months ago
Training on Severely Degraded Text-Line Images
We show that document image decoding (DID) supervised training algorithms, as a result of recent refinements, achieve high accuracy with low manual effort even under conditions o...
Prateek Sarkar, Henry S. Baird, Xiaohu Zhang
ICDAR
2009
IEEE
14 years 2 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig