Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis.
- DOI
- 10.3389/fdata.2025.1682984
- Published
- 2025
- Container
- Frontiers in big data
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fdata.2025.1682984,
title = {Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis.},
author = {Shahariar Parvez AHM and Samiul Islam M and Al Farid F and Yeasmin T and Islam MM and Azam MS and Uddin J and Abdul Karim H},
year = {2025},
journal = {Frontiers in big data},
doi = {10.3389/fdata.2025.1682984},
url = {https://doi.org/10.3389/fdata.2025.1682984}
}RIS
TY - JOUR TI - Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis. AU - Shahariar Parvez AHM AU - Samiul Islam M AU - Al Farid F AU - Yeasmin T AU - Islam MM AU - Azam MS AU - Uddin J AU - Abdul Karim H PY - 2025 JO - Frontiers in big data DO - 10.3389/fdata.2025.1682984 UR - https://doi.org/10.3389/fdata.2025.1682984 ER -
APA
AHM, S. P., M, S. I., F, A. F., T, Y., MM, I., MS, A., J, U., & H, A. K. (2025). Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis.. Frontiers in big data. https://doi.org/10.3389/fdata.2025.1682984
Source records
- pubmed · retrieved 2026-09-25T05:13:35.412Z