Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units.
Tayyab Nasir|Muhammad Kamran Malik
| Anthology ID: | DBLP:journals/ipm/NasirM24 |
|---|---|
| Year: | 2024 |
| Venue: | Information Processing and Management |
| Pages: | 103544 |
| URL: | https://doi.org/10.1016/J.IPM.2023.103544 |
| DOI: | https://doi.org/10.1016/J.IPM.2023.103544 |
| DBLP: | journals/ipm/NasirM24 |
| BibTeX: |
@article{nasir-2024-efficient,
author = {Tayyab Nasir and
Muhammad Kamran Malik},
title = {{Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units}},
journal = {Information Processing and Management},
volume = {61},
number = {1},
pages = {103544},
year = {2024},
url = {https://doi.org/10.1016/J.IPM.2023.103544},
doi = {https://doi.org/10.1016/J.IPM.2023.103544}
}