Journal
PATTERN RECOGNITION
Volume 45, Issue 6, Pages 2419-2431Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2011.12.013
Keywords
Document image processing; Binarization; Adaptive methods
Funding
- NSERC of Canada
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Adaptive binarization methods play a central role in document image processing. In this work, an adaptive and parameterless generalization of Otsu's method is presented. The adaptiveness is obtained by combining grid-based modeling and the estimated background map. The parameterless behavior is achieved by automatically estimating the document parameters, such as the average stroke width and the average line height. The proposed method is extended using a multiscale framework, and has been applied on various datasets, including the DIBCO'09 dataset, with promising results. (C) 2011 Elsevier Ltd. All rights reserved.
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