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Skew detection for complex document images using fuzzy runlength

  • SUNY Buffalo

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

27 Scopus citations

Abstract

A skew angle estimation approach based on the application of a fuzzy directional runlength is proposed for complex address images. The proposed technique was tested on a variety of USPS parcel images including both machine print and handwritten addresses. The testing results showed a successful rate more than 90% of the test set.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
PublisherIEEE Computer Society
Pages715-719
Number of pages5
ISBN (Electronic)0769519601
DOIs
StatePublished - 2003
Event7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, United Kingdom
Duration: Aug 3 2003Aug 6 2003

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2003-January
ISSN (Print)1520-5363

Conference

Conference7th International Conference on Document Analysis and Recognition, ICDAR 2003
Country/TerritoryUnited Kingdom
CityEdinburgh
Period08/3/0308/6/03

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