Word Extraction Using Area Voronoi Diagram

  • Zhe Wang
  • , Yue Lu
  • , Chew Lim Tan

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

4 Scopus citations

Abstract

A method of word extraction based on the area Voronoi diagram is presented in this paper. Firstly, connected components are generated from the input image. Secondly, noise removal is performed including a special symbol detection technique to find some types of special symbols lying between words. Thirdly, base on the area Voronoi diagram, we select appropriate Voronoi edges which separate two neighboring connected components. Finally, words are extracted by merging the connected components based on the Voronoi edge between them. The result generated by this method is satisfactory with the ability to correctly group words of different size, font and arrangement. Experiments show that the proposed method achieves a high accuracy.

Original languageEnglish
Title of host publication2003 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003
PublisherIEEE Computer Society
Pages31-35
Number of pages5
ISBN (Electronic)0769519008
DOIs
StatePublished - 2003
Externally publishedYes
EventConference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003 - Madison, United States
Duration: 16 Jun 200322 Jun 2003

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume3
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

ConferenceConference on Computer Vision and Pattern Recognition Workshop, CVPRW 2003
Country/TerritoryUnited States
CityMadison
Period16/06/0322/06/03

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