A Comparative Study of OCR Architectures for Korean License Plate Recognition: CNN–RNN-Based Models and MobileNetV3–Transformer-Based Models
- DOI
- 10.3390/s26041208
- Published
- 2026-02-12
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26041208,
title = {A Comparative Study of OCR Architectures for Korean License Plate Recognition: CNN–RNN-Based Models and MobileNetV3–Transformer-Based Models},
author = {Seungju Lee and Gooman Park},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26041208},
url = {https://doi.org/10.3390/s26041208}
}RIS
TY - JOUR TI - A Comparative Study of OCR Architectures for Korean License Plate Recognition: CNN–RNN-Based Models and MobileNetV3–Transformer-Based Models AU - Seungju Lee AU - Gooman Park PY - 2026 JO - Sensors DO - 10.3390/s26041208 UR - https://doi.org/10.3390/s26041208 ER -
APA
Lee, S., & Park, G. (2026). A Comparative Study of OCR Architectures for Korean License Plate Recognition: CNN–RNN-Based Models and MobileNetV3–Transformer-Based Models. Sensors. https://doi.org/10.3390/s26041208
Source records
- crossref · retrieved 2026-09-24T19:45:42.572Z