A Mask-Based Enhancement Method for Historical Documents

Elisa H. Barney Smith, Jerôme Darbon, Laurence Likforman-Sulem

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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-Local Means) 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 The document images to be enhanced are real historical documents from several periods which include several defects in their background.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 languageAmerican English
JournalElectrical and Computer Engineering Faculty Publications and Presentations
DOIs
StatePublished - 26 Jan 2011

Keywords

  • document image enhancement
  • image processing
  • non-local means
  • variational approach

EGS Disciplines

  • Electrical and Computer Engineering

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