A comprehensive video text localization system based on stroke filter

  • Zhikai Wu*
  • , Xiangzhong Fang
  • , Ci Wang
  • *Corresponding author for this work

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

1 Scopus citations

Abstract

Texts in images and videos are a significant source of high-level semantics for indexing and retrieval. But the localization and extraction of text are always interfered by complex backgrounds with strong edge and texture clutter. In this paper, we propose a comprehensive text localization system which combines several popular methods. First, we extract the stroke features of text using improved stroke filter. Then we employ global thresholding and projection profile to localize the candidate text regions on the stroke map. In the end, based on the stroke statistical features, we use SVM classifier to refine the text regions. The experimental results show that the system is robust to the text size and complex background.

Original languageEnglish
Title of host publication2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009 - Nanjing, China
Duration: 13 Nov 200915 Nov 2009

Publication series

Name2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009

Conference

Conference2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
Country/TerritoryChina
CityNanjing
Period13/11/0915/11/09

Keywords

  • Projection profile
  • SVM
  • Stroke filter
  • Text localization

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