The vast majority of copied documents generally consist of text, and the copy quality mostly depends on the text's reproduction quality. A new technique to enhance dark text ...
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Form document analysis is one of the most essential tasks in document analysis and recognition. One of the most fundamental and crucial tasks is the extraction of the reference li...
We combine information from a language model and character image pattern matching to iteratively reduce ambiguity in document images. Combining word shape information and lists of...
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
Ossama El Badawy, Mahmoud R. El-Sakka, Khaled Hass...