An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents

Ivan Gruber, Pavel Ircing, Petr Neduchal, Marek Hrúz, Miroslav Hlavác, Zbynek Zajíc, Jan Svec, Martin Bulín. An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents. In Alexey Karpov 0001, Rodmonga Potapova, editors, Speech and Computer - 22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7-9, 2020, Proceedings. Volume 12335 of Lecture Notes in Computer Science, pages 166-175, Springer, 2020. [doi]

@inproceedings{GruberINHHZSB20,
  title = {An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents},
  author = {Ivan Gruber and Pavel Ircing and Petr Neduchal and Marek Hrúz and Miroslav Hlavác and Zbynek Zajíc and Jan Svec and Martin Bulín},
  year = {2020},
  doi = {10.1007/978-3-030-60276-5_17},
  url = {https://doi.org/10.1007/978-3-030-60276-5_17},
  researchr = {https://researchr.org/publication/GruberINHHZSB20},
  cites = {0},
  citedby = {0},
  pages = {166-175},
  booktitle = {Speech and Computer - 22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7-9, 2020, Proceedings},
  editor = {Alexey Karpov 0001 and Rodmonga Potapova},
  volume = {12335},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-60276-5},
}