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A mask-based enhancement method for historical documents

  • Boise State University
  • Université Paris-Saclay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 The document images to be enhanced are real historical documents from several periods which include several defects in their background.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.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Document Recognition and Retrieval XVIII
DOIs
Publication statusPublished - 12 May 2011
EventDocument Recognition and Retrieval XVIII - San Francisco, CA, United States
Duration: 26 Jan 201127 Jan 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7874
ISSN (Print)0277-786X

Conference

ConferenceDocument Recognition and Retrieval XVIII
Country/TerritoryUnited States
CitySan Francisco, CA
Period26/01/1127/01/11

Keywords

  • Character recognition
  • Document image enhancement
  • Historical documents
  • Image processing
  • Non-local Means
  • Variational approach

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