WFST-based ground truth alignment for difficult historical documents with text modification and layout variations

Mayce Ibrahim Ali Al Azawi, Marcus Liwicki, Thomas M. Breuel. WFST-based ground truth alignment for difficult historical documents with text modification and layout variations. In Richard Zanibbi, Bertrand Coüasnon, editors, Document Recognition and Retrieval XX - DRR 2013, 20th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, Burlingame, California, USA, February 3, 2013, Proceedings. Volume 8658 of SPIE Proceedings, pages 865818, SPIE, 2013. [doi]

@inproceedings{AzawiLB13,
  title = {WFST-based ground truth alignment for difficult historical documents with text modification and layout variations},
  author = {Mayce Ibrahim Ali Al Azawi and Marcus Liwicki and Thomas M. Breuel},
  year = {2013},
  doi = {10.1117/12.2003134},
  url = {http://dx.doi.org/10.1117/12.2003134},
  researchr = {https://researchr.org/publication/AzawiLB13},
  cites = {0},
  citedby = {0},
  pages = {865818},
  booktitle = {Document Recognition and Retrieval XX - DRR 2013, 20th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, Burlingame, California, USA, February 3, 2013, Proceedings},
  editor = {Richard Zanibbi and Bertrand Coüasnon},
  volume = {8658},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {978-0-819-48944-9},
}