Skew detection via principal components analysis

Tal Steinherz, Nathan Intrator, Ehud Rivlin

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

Abstract

Skew detection via principal components is proposed as an effective method for images which contain other parts than text. It is shown that the negative of the image leads to much more robust results, and that the computation time involved is still practical.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
PublisherIEEE Computer Society
Pages153-156
Number of pages4
ISBN (Electronic)0769503187
DOIs
StatePublished - 1999
Event5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India
Duration: 20 Sep 199922 Sep 1999

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Conference

Conference5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/TerritoryIndia
CityBangalore
Period20/09/9922/09/99

Keywords

  • Document analysis
  • Principal components
  • Skew detection

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