DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Markov random field based binarization for hand-held devices captured document images
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
A novel ring radius transform for video character reconstruction
Pattern Recognition
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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 expectation maximization (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.