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Proceedings Paper

A mask-based enhancement method for historical documents
Author(s): Elisa H. Barney Smith; Jérôme Darbon; Laurence Likforman-Sulem
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Paper Abstract

This paper proposes a novel method for document enhancement. The method is based on the combination of two state-of-the-art filters through the construction of a mask. The mask is applied to a TV (Total Variation) - regularized image where background noise has been reduced. The masked image is then filtered by NLmeans (Non LocalMeans) which reduces the noise in the text areas located by the mask. The document images to be enhanced are real historical documents from several periods which include several defects in their background. These defects result from scanning, paper aging and bleed-through. We observe the improvement of this enhancement method through OCR accuracy.

Paper Details

Date Published: 24 January 2011
PDF: 9 pages
Proc. SPIE 7874, Document Recognition and Retrieval XVIII, 787414 (24 January 2011); doi: 10.1117/12.876668
Show Author Affiliations
Elisa H. Barney Smith, Boise State Univ. (United States)
Jérôme Darbon, CMLA, ENS Cachan, CNRS, PRES Univ. (France)
Laurence Likforman-Sulem, Telecom ParisTech (France)


Published in SPIE Proceedings Vol. 7874:
Document Recognition and Retrieval XVIII
Gady Agam; Christian Viard-Gaudin, Editor(s)

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