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Enhancing Degraded Document Images via Bitmap Clustering and Averaging
Ulm, GERMANY August 18-August 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619877Fourth International Conference Docum ...
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John D. Hobby, Bell Labs, Lucent Technologies
Tin Kam Ho, Bell Labs, Lucent Technologies
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.
Index Terms:
document image degradation, image quality enhancement, image clustering, bitmap averaging, text recognition
Citation:
John D. Hobby, Tin Kam Ho, "Enhancing Degraded Document Images via Bitmap Clustering and Averaging," icdar, pp.394, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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