Text detection in images based on grayscale decomposition and stroke extraction

Wei Fan*, Jun Sun, Yutaka Katsuyama, Yoshinobu Hotta, Satoshi Naoi

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

A method of detecting text regions in images which combines grayscale decomposition and stroke extraction is proposed. By checking the consistency of the two text features, text-like connected components are grouped together to generate text line regions in the processed image. It shows good performance on efficiently detecting image text rendered in relatively complex backgrounds.

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
Pages921-924
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
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

Conference

Conference2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
Country/TerritoryChina
CityNanjing
Period09/11/409/11/6

Keywords

  • Grayscale decomposition
  • Stroke extraction
  • Text detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software

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