Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18020
Title: The Multistage Approach to Information Extraction in Degraded Document Images
Contributor(s): Chen, Yan (author); Leedham, Graham  (author)
Publication Date: 2004
DOI: 10.1109/ICPR.2004.1334154
Handle Link: https://hdl.handle.net/1959.11/18020
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.
Publication Type: Conference Publication
Conference Details: ICPR'04: 17th International Conference on Pattern Recognition, Cambridge, United Kingdom, 23rd - 26th August, 2004
Source of Publication: Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), v.1, p. 445-449
Publisher: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway, United States of America
ISSN: 1051-4651
Field of Research (FOR): 080106 Image Processing
Socio-Economic Objective (SEO): 810107 National Security
890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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