Extraction of representative structure of decorative character images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extracting structure information from decorative character images is a challenging problem in the field of character recognition. The structure information of a decorative character image can be represented by a graph. However, the topologies of graphs are different even if they are the ones of the same character, because of various decorations. In this paper, we propose a method to extract a representative graph of decorative character images. The proposed method extracts graphs from decorative character images, obtains common nodes in a character and iteratively integrates graphs into one common supergraph using common nodes. To show the validly of the proposed method, experiments are carried out using decorative character images.

Original languageEnglish
Title of host publicationProceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
Pages944-948
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR - Nanjing, China
Duration: 2009 Nov 42009 Nov 6

Publication series

NameProceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR

Other

Other2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
CountryChina
CityNanjing
Period09/11/409/11/6

Keywords

  • Character recognition
  • Common supergraph
  • Decorative character
  • Structure extraction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software

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