Unsupervised learning of text line segmentation by differentiating coarse patterns

@article{Barakat2021UnsupervisedLO,
  title={Unsupervised learning of text line segmentation by differentiating coarse patterns},
  author={Berat Kurar Barakat and Ahmad Droby and Raid Saabni and Jihad El-Sana},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.09405}
}
Despite recent advances in the field of supervised deep learning for text line segmentation, unsupervised deep learning solutions are beginning to gain popularity. In this paper, we present an unsupervised deep learning method that embeds document image patches to a compact Euclidean space where distances correspond to a coarse text line pattern similarity. Once this space has been produced, text line segmentation can be easily implemented using standard techniques with the embedded feature… 

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