Author(s) |
Chen, Yan
Leedham, Graham
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Publication Date |
2004
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Abstract |
Global and local adaptive thresholding techniques have been shown effective on particular types of documents. None produces consistently good results on all types of documents. In this paper a novel method, called the multistage-approach, is presented and compared against some existing single-stage algorithms. The multistage approach recursively breaks down an image into sub-regions using quad-tree decomposition and extracts local features from each sub-region until an appropriate thresholding method can be applied to each sub-region. Quantitative analysis using word recall and on 300 degraded historical images obtained from the Library of Congress demonstrate the method is superior to any existing single methods.
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Citation |
Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), v.1, p. 445-449
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ISBN |
0769521282
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ISSN |
1051-4651
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Link | |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE)
|
Title |
The Multistage Approach to Information Extraction in Degraded Document Images
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Type of document |
Conference Publication
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Entity Type |
Publication
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