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ICDAR
2009
IEEE

Document Image Binarisation Using Markov Field Model

9 years 9 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. Depending on the available information, the model parameters (clique potentials) are learned from training data or computed using heuristics. The observation model is estimated thanks to an expectationmaximization (EM) algorithm which extracts text and paper's features. The performance of the proposition is evaluated on several types of degraded document images where considerable background noise or variation in contrast and illumination exist.
Thibault Lelore, Frédéric Bouchara
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Thibault Lelore, Frédéric Bouchara
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