IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure Extraction from Decorated Characters Using Multiscale Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Extraction, Enhancement and OCR in Digital Video
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Degraded dot matrix character recognition using CSM-based feature extraction
Proceedings of the 10th ACM symposium on Document engineering
Towards recognition of degraded words by probabilistic parsing
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Networked document imaging with normalization and optimization
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Bounding the probability of error for high precision optical character recognition
The Journal of Machine Learning Research
The Journal of Machine Learning Research
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Proper display and accurate recognition of document images are often hampered by degradations caused by poor scanning or transmission conditions. We propose a method to enhance such degraded document images for better display quality and recognition accuracy. The essence of the method is in finding and averaging bitmaps of the same symbol that are scattered across a text page. Outline descriptions of the symbols are then obtained that can be rendered at arbitrary resolution. The paper describes details of the algorithm and an experiment to demonstrate its capabilities using fax images.