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Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method
  for Medieval Manuscripts

Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts

11 June 2019
Michele Alberti
Lars Vogtlin
Vinaychandran Pondenkandath
Mathias Seuret
Rolf Ingold
Marcus Liwicki
ArXivPDFHTML

Papers citing "Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts"

4 / 4 papers shown
Title
Palmira: A Deep Deformable Network for Instance Segmentation of Dense
  and Uneven Layouts in Handwritten Manuscripts
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts
Prema Satish Sharan
Sowmya Aitha
Amandeep Kumar
Abhishek Trivedi
Aaron Augustine
Ravi Kiran Sarvadevabhatla
19
5
0
21 Aug 2021
Unsupervised learning of text line segmentation by differentiating
  coarse patterns
Unsupervised learning of text line segmentation by differentiating coarse patterns
Berat Kurar Barakat
Ahmad Droby
Raid Saabni
Jihad El-Sana
16
2
0
19 May 2021
Generating Synthetic Handwritten Historical Documents With OCR
  Constrained GANs
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
Lars Vogtlin
Manuel Drazyk
Vinaychandran Pondenkandath
Michele Alberti
Rolf Ingold
16
12
0
15 Mar 2021
Unsupervised deep learning for text line segmentation
Unsupervised deep learning for text line segmentation
Berat Kurar Barakat
Ahmad Droby
Rym Alasam
Boraq Madi
Irina Rabaev
Raed Shammes
Jihad El-Sana
18
4
0
19 Mar 2020
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