Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
A design of a preprocessing framework for large database of historical documents
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Historical document binarization based on phase information of images
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
An optimization for binarization methods by removing binary artifacts
Pattern Recognition Letters
A combined approach for the binarization of handwritten document images
Pattern Recognition Letters
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Document analysis and recognition systems include, usually, several levels, annotation, preprocessing, segmentation, feature extraction, classification and post-processing. Each level may be dependent on or independent from the other levels. The presence of noise in images can affect the performance of the entire system. This noise can be introduced by the digitization step or from the document itself. In this paper, we present a new binarization approach based on a combination between a preprocessing step and a localization step. The aim of the present approach is the application of binarization algorithms on selected objects-of-interest. The evaluation of the developed approach is performed using two benchmarking datasets from the last two document binarization contests (DIBCO 2009 and H-DIBCO 2010). It shows very promising results.