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Binarizing complex scanned documents
2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015Most binarization algorithms are suitable for scanned text documents and do not work adequately with complex documents that encompass photos, charts and text simultaneously. This paper presents a new binarization algorithm that works on complex documents.
Rafael Dueire Lins +2 more
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A Multiscale Morphological Binarization Algorithm
2010Image binarization is widely used to generate more appropriate images to be used in several image analysis and understanding systems, as well as to facilitate data management and decrease storage space requirements. The main difficulties arise from the fact that images are frequently degraded by noise and non-uniform illumination, for example.
Leyza Baldo Dorini +1 more
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A technique for fuzzy document binarization
Proceedings of the 2001 ACM Symposium on Document engineering, 2001This paper proposes a new method for fuzzy binarization of digital document. The proposed approach achieves binarization using both the image gray-levels and additional local spatial features. Both, gray-level and local features values feed a Kohonen Self-Organized Feature Map (SOFM) neural network classifier.
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Binarization of MultiSpectral Document Images
2015This work is concerned with the binarization of document images caputured by MultiSpectral Imaging MSI systems. The documents imaged are historical manuscripts and MSI is used to gather more information compared to traditional RGB photographs or scans.
Fabian Hollaus +2 more
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Binarization using associative addressing
Pattern Recognition, 1974Abstract For use in hand-printed character recognition, this paper introduces a method of binarization that can cope with quite large and abrupt changes of the grey levels of black and white. The binarizing threshold is a piece-wise linear function of a local maximum white level, and this function is conveniently implemented by means of associative ...
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Sugeno integral generalization applied to improve adaptive image binarization
Information Fusion, 2021Francesco Bardozzo +2 more
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CT-Net: Cascade T-shape deep fusion networks for document binarization
Pattern Recognition, 2021Sheng He, Lambert Schomaker
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A double-threshold image binarization method based on edge detector
Pattern Recognition, 2008Quan-Sen Sun +2 more
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