Improving Handwritten Arabic Text Recognition Using an Adaptive Data-Augmentation Algorithm

Mohamed Eltay, Abdelmalek B. C. Zidouri, Irfan Ahmad 0001, Yousef Elarian. Improving Handwritten Arabic Text Recognition Using an Adaptive Data-Augmentation Algorithm. In Elisa H. Barney Smith, Umapada Pal 0001, editors, Document Analysis and Recognition, ICDAR 2021 Workshops, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I. Volume 12916 of Lecture Notes in Computer Science, pages 322-335, Springer, 2021. [doi]

@inproceedings{EltayZ0E21,
  title = {Improving Handwritten Arabic Text Recognition Using an Adaptive Data-Augmentation Algorithm},
  author = {Mohamed Eltay and Abdelmalek B. C. Zidouri and Irfan Ahmad 0001 and Yousef Elarian},
  year = {2021},
  doi = {10.1007/978-3-030-86198-8_23},
  url = {https://doi.org/10.1007/978-3-030-86198-8_23},
  researchr = {https://researchr.org/publication/EltayZ0E21},
  cites = {0},
  citedby = {0},
  pages = {322-335},
  booktitle = {Document Analysis and Recognition, ICDAR 2021 Workshops, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I},
  editor = {Elisa H. Barney Smith and Umapada Pal 0001},
  volume = {12916},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86198-8},
}