Fast and accurate skew estimation based on distance transform

Itay Bar-Yosef, Nate Hagbi, Klara Kedem, Itshak Dinstein

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

8 Scopus citations

Abstract

Document skew estimation is an important step in the process of document analysis. In this paper we discuss the properties of the distance transform of binarized documents and derive a fast and accurate method for detecting document skew. The method is based on the observation that the dominant orientation of the gradient of the distance transform accurately reflects the skew of the document. Our experiments suggest the method is robust to large variations in text properties, such as difference in script and page layout, and provides estimation accuracy of state-of-the-art skew detection methods.

Original languageEnglish
Title of host publicationDAS 2008 - Proceedings of the 8th IAPR International Workshop on Document Analysis Systems
Pages402-407
Number of pages6
DOIs
StatePublished - 22 Dec 2008
Event8th IAPR International Workshop on Document Analysis Systems, DAS 2008 - Nara, Japan
Duration: 16 Sep 200819 Sep 2008

Publication series

NameDAS 2008 - Proceedings of the 8th IAPR International Workshop on Document Analysis Systems

Conference

Conference8th IAPR International Workshop on Document Analysis Systems, DAS 2008
Country/TerritoryJapan
CityNara
Period16/09/0819/09/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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