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ICIP
1994
IEEE
14 years 9 months ago
Document Image Decoding
It has been shown that the computation time of Document Image Decoding can be significantly reduced by employing heuristics in the search for the best decoding of a text line. In ...
Gary E. Kopec, Philip A. Chou
ICPR
2002
IEEE
14 years 8 months ago
Adaptive Stack Algorithm in Document Image Decoding
The Stack algorithm, which is a best-first search algorithm widely used in speech recognition, is modified for application to the problem of recognizing machine printed text in th...
Kris Popat, Daniel H. Greene, Tze-Lei Poo
ICDAR
2007
IEEE
14 years 1 months ago
Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
J. Chen, Y. Wang
ICPR
2004
IEEE
14 years 8 months ago
Decoder Banks: Versatility, Automation, and High Accuracy without Supervised Training
A methodology using decoder banks is proposed for high-accuracy, fully automatic recognition of machine printed text across a wide range of challenging image qualities, without re...
Henry S. Baird, Prateek Sarkar
ICDAR
2003
IEEE
14 years 22 days 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