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...
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...
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...
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...
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 ...