Localizing and segmenting text in images and videos

@article{Lienhart2002LocalizingAS,
  title={Localizing and segmenting text in images and videos},
  author={Rainer Lienhart and Axel Wernicke},
  journal={IEEE Trans. Circuits Syst. Video Techn.},
  year={2002},
  volume={12},
  pages={256-268}
}
Many images—especially those used for page design on web pages—as well as videos contain visible text. If these text occurrences could be detected, segmented, and recognized automatically, they would be a valuable source of high-level semantics for indexing and retrieval. In this paper, we propose a novel method for localizing and segmenting text in complex images and videos. Text lines are identified by using a complex-valued multilayer feed-forward network trained to detect text at a fixed… CONTINUE READING
Highly Influential
This paper has highly influenced 31 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 487 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 303 extracted citations

488 Citations

02040'02'05'09'13'17
Citations per Year
Semantic Scholar estimates that this publication has 488 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…