An introduction to digital image processing
An introduction to digital image processing
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive degraded document image binarization
Pattern Recognition
PETS Metrics: On-Line Performance Evaluation Service
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
An Objective Evaluation Methodology for Document Image Binarization Techniques
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
PixLabeler: User Interface for Pixel-Level Labeling of Elements in Document Images
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
A platform for storing, visualizing, and interpreting collections of noisy documents
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
Pixel accurate document image content extraction
Proceedings of the 2011 ACM Symposium on Applied Computing
Document analysis research in the year 2021
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
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A design of a preprocessing framework for large database of historical documents
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
On performance analysis of end-to-end OCR systems of Indic scripts
Proceeding of the workshop on Document Analysis and Recognition
A learning framework for the optimization and automation of document binarization methods
Computer Vision and Image Understanding
Evaluating glyph binarizations based on their properties
Proceedings of the 2013 ACM symposium on Document engineering
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The accuracy of a binarization algorithm is often calculated relative to a ground truth image. Except for synthetically generated images, no ground truth image exists. Evaluating binarization on real images is preferred. The ground truthing between and among different operators is compared. Four direct metrics were used. The variability of the results of five different automatic binarization algorithms were compared to that of manual ground truth results. Significant variability in the ground truth results was found.