A technique for skew detection of printed arabic documents

Irfan Ahmad*

*Corresponding author for this work

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

7 Scopus citations

Abstract

Document skew correction is one of the core preprocessing steps in document analysis systems. In this paper, the author proposes a new multi-step skew detection technique for printed Arabic documents. The technique exploits the unique property of the writing line of Arabic script and is based on connected component analysis and projection profiles. The proposed technique works for different types of Arabic documents having text and non-text zones with unrestricted layout. Moreover due to the multi-step approach, it can detect skews with the resolution of ± 0.05 degrees. Experiments conducted on different Arabic documents shows the effectiveness of the technique.

Original languageEnglish
Title of host publicationProceedings - 10th International Conference Computer Graphics, Imaging, and Visualization, CGIV 2013
PublisherIEEE Computer Society
Pages62-67
Number of pages6
ISBN (Print)9780769550510
DOIs
StatePublished - 2013

Publication series

NameProceedings - 10th International Conference Computer Graphics, Imaging, and Visualization, CGIV 2013

Keywords

  • Document analysis
  • Document processing
  • Pre-processing
  • Skew correction
  • Skew detection

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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