Binarization-Free Text Line Segmentation for Historical Documents Based on Interest Point Clustering

@article{Garz2012BinarizationFreeTL,
  title={Binarization-Free Text Line Segmentation for Historical Documents Based on Interest Point Clustering},
  author={Angelika Garz and Andreas Fischer and Robert Sablatnig and Horst Bunke},
  journal={2012 10th IAPR International Workshop on Document Analysis Systems},
  year={2012},
  pages={95-99}
}
Segmenting page images into text lines is a crucial pre-processing step for automated reading of historical documents. Challenging issues in this open research field are given \eg by paper or parchment background noise, ink bleed-through, artifacts due to aging, stains, and touching text lines. In this paper, we present a novel binarization-free line segmentation method that is robust to noise and copes with overlapping and touching text lines. First, interest points representing parts of… CONTINUE READING
Highly Cited
This paper has 34 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 22 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 22 references

Similar Papers

Loading similar papers…