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ICDAR
2003
IEEE
15 years 9 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
CHI
1997
ACM
15 years 8 months ago
Computational Models of Information Scent-Following in a Very Large Browsable Text Collection
An ecological-cognitive framework of analysis and a model-tracing architecture are presented and used in the analysis of data recorded from users browsing a large document collect...
Peter Pirolli
SIGDOC
1995
ACM
15 years 8 months ago
Personalized information structures II: hyperstructure hotlists
This paper describes ongoing research into the use of a domain-retargetable reverse engineering environment to aid the structural understanding of large information spaces. In par...
Scott R. Tilley, Walter M. Lamia
DRR
2010
15 years 6 months ago
Effect of pre-processing on binarization
The effects of different image pre-processing methods for document image binarization are explored. They are compared on five different binarization methods on images with bleed t...
Elisa H. Barney Smith, Laurence Likforman-Sulem, J...
DAS
2008
Springer
15 years 6 months ago
Detecting Gradients in Text Images Using the Hough Transform
The use of gradients in text images is nowadays quite frequent. Existing segmentation methods encounter serious problems when it comes to modern text images where gradients might ...
Dimosthenis Karatzas