Current digital documents provide few traces to help user browsing. This makes document browsing difficult, and we sometimes feel it is hard to keep track of all of the informati...
Optical character recognition (OCR) remains a difficult problem for noisy documents or documents not scanned at high resolution. Many current approaches rely on stored font models...
Andrew Kae, Gary Huang, Erik Learned-miller, Carl ...
Abstract. Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition erro...
Laurent Pugin, John Ashley Burgoyne, Ichiro Fujina...
Skew-corrected document images are necessary for subsequent downstream operations such as archiving, printing or improving OCR performance. Image rotation is a necessary and more ...
In this paper a complete OCR methodology for recognizing historical documents, either printed or handwritten without any knowledge of the font, is presented. This methodology cons...