BinarizationShop: A user-assisted software suite for converting old documents to black-and-white

Fanbo Deng, Zheng Wu, Zheng Lu, Michael S. Brown

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

20 Citations (Scopus)

Abstract

Converting a scanned document to a binary format (black and white) is a key step in the digitization process. While many existing binarization algorithms operate robustly for well-kept documents, these algorithms often produce less than satisfactory results when applied to old documents, especially those degraded with stains and other discolorations. For these challenging documents, user assistance can be advantageous in directing the binarization procedure. Many existing algorithms, however, are poorly designed to incorporate user assistance. In this paper, we discuss a software framework, BinarizationShop, that combines a series of bi-narization approaches that have been tailored to exploit user assistance. This framework provides a practical approach for converting difficult documents to black and white.

Original languageEnglish
Title of host publicationJCDL'10 - Digital Libraries - 10 Years Past, 10 Years Forward, a 2020 Vision
Pages255-258
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event10th Annual Joint Conference on Digital Libraries, JCDL 2010 - Gold Coast, QLD, Australia
Duration: 21 Jun 201025 Jun 2010

Publication series

NameProceedings of the ACM International Conference on Digital Libraries

Conference

Conference10th Annual Joint Conference on Digital Libraries, JCDL 2010
Country/TerritoryAustralia
CityGold Coast, QLD
Period21/06/1025/06/10

Keywords

  • Binarization
  • Document processing
  • User-assisted software

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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