Skew estimation and segmentation of text line in video frames

  • Zhu Chengjun*
  • , Li Chao
  • , Gao Lei
  • , Xiong Zhang
  • *Corresponding author for this work

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

Abstract

A method is proposed to segment text from complex background for recognition task. First we estimate the skew of text line and rotate it to the horizontal one. Second, a sampling method based on color edge is proposed to get portion of the text pixels and non-text pixels. Then, k-means algorithm is used to partition the sampled pixels into k clusters. Third, we take the centroid and standard deviation of clusters to segment text image into k binary images. Finally, stroke-filtering is used to select correct one from k binary images. Experiments result shows that the proposed method performs much better than the previous methods.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008
Pages379-383
Number of pages5
DOIs
StatePublished - 2008
EventInternational Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008 - Moscow, Russian Federation
Duration: 23 May 200825 May 2008

Publication series

NameProceedings - International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008

Conference

ConferenceInternational Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008
Country/TerritoryRussian Federation
CityMoscow
Period23/05/0825/05/08

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