A Two Level Algorithm for Text Detection in Natural Scene Images

@article{Rong2014ATL,
  title={A Two Level Algorithm for Text Detection in Natural Scene Images},
  author={Li Rong and Suyu Wang and Zhixin Shi},
  journal={2014 11th IAPR International Workshop on Document Analysis Systems},
  year={2014},
  pages={329-333}
}
In this paper we present a two-level method to detect text in natural scene images. In the first level, connected components (referred as CCs) are got from the images. Then candidate text lines are extracted and groups of connected components that align in horizontal or vertical direction are got. We think CCs in these groups have high probability are texts. To validate which CC is text, a SVM is trained to make an initial decision. The output of SVM is calibrated to posterior probability. Then… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS
11 Citations
20 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Multi-script extraction from natural scenes,

  • Lluis Gomez, Dimosthenis Karatzas
  • In Proc. 12 International Conference on Document…
  • 2013
1 Excerpt

Robust Reading Competition,

  • Dimosthenis Karatzas, Faisal Shafait, Seiichi Uchida et al
  • ICDAR
  • 2013

Similar Papers

Loading similar papers…