Automatic thresholding of gray-level pictures using two-dimensional entropy
Computer Vision, Graphics, and Image Processing
A technique for fuzzy document binarization
DocEng '01 Proceedings of the 2001 ACM Symposium on Document engineering
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-scale binarization of images
Pattern Recognition Letters
Shock Filters for Character Image Enhancement and Peeling
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Towards Restoring Historic Documents Degraded Over Time
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Word spotting for historical documents
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Low quality document image modeling and enhancement
International Journal on Document Analysis and Recognition
RSLDI: Restoration of single-sided low-quality document images
Pattern Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICDAR 2009 Document Image Binarization Contest (DIBCO 2009)
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Combining global and local threshold to binarize document of images
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
A recursive thresholding technique for image segmentation
IEEE Transactions on Image Processing
Show-through cancellation in scans of duplex printed documents
IEEE Transactions on Image Processing
Stroke-model-based character extraction from gray-level document images
IEEE Transactions on Image Processing
Data driven approach to binarization of astronomical images
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Unsupervised measures for parameter selection of binarization algorithms
Pattern Recognition
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 line-based representation for matching words in historical manuscripts
Pattern Recognition Letters
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Parameter-free based two-stage method for binarizing degraded document images
Pattern Recognition
A phase congruency based document binarization
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
A learning framework for the optimization and automation of document binarization methods
Computer Vision and Image Understanding
A new binarization method for non-uniform illuminated document images
Pattern Recognition
Historical document image restoration using multispectral imaging system
Pattern Recognition
Historical document binarization based on phase information of images
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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In this work, a multi-scale binarization framework is introduced, which can be used along with any adaptive threshold-based binarization method. This framework is able to improve the binarization results and to restore weak connections and strokes, especially in the case of degraded historical documents. This is achieved thanks to localized nature of the framework on the spatial domain. The framework requires several binarizations on different scales, which is addressed by introduction of fast grid-based models. This enables us to explore high scales which are usually unreachable to the traditional approaches. In order to expand our set of adaptive methods, an adaptive modification of Otsu's method, called AdOtsu, is introduced. In addition, in order to restore document images suffering from bleed-through degradation, we combine the framework with recursive adaptive methods. The framework shows promising performance in subjective and objective evaluations performed on available datasets.