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Published Articles >> Table of Contents >> Abstract
10th International Multimedia Modelling Conference
p. 181
The Extraction of Text/Graphs from Degraded Documents
Shwu-Huey Yen, Tamkang University
Yi-Jin Chen, Tamkang University
Hui-Jen Lin, Tamkang University
Chia-Jen Wang, Tamkang University
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MULMM.2004.1264984
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| Abstract |
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This paper presents a method for improving the quality of
degraded documents by noise removal and text enhancing.
Histogram of a degraded document is analyzed to find out
the approximate ranges of gray-value for text-, graph-, (i.e.
photographs), and background-pixels. After the graph-pixels
are identified, they are replaced by the background pixels.
Agent-growing method [1] is then applied to smooth the
noisy background and a document with clear readable
condition for text and background is obtained. At last, graph
pixels are recovered to get the final result such that the
degraded document now has the text in much better quality
and photographs preserved if there is any. Experiments to
verify the efficacy of the proposed method and comparison
to some existing techniques are also presented.
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 Additional Information
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Citation:
Shwu-Huey Yen, Yi-Jin Chen, Hui-Jen Lin, Chia-Jen Wang,
"The Extraction of Text/Graphs from Degraded Documents,"
mmm,
p. 181,
10th International Multimedia Modelling Conference,
2004
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