Resource-Aware Scene Text Recognition Using Learned Features, Quantization, and Contour-Based Character Extraction
- DOI
- 10.1109/access.2023.3283931
- Published
- 2023
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2023.3283931,
title = {Resource-Aware Scene Text Recognition Using Learned Features, Quantization, and Contour-Based Character Extraction},
author = {Olutosin Ajibola Ademola and Eduard Petlenkov and Mairo Leier},
year = {2023},
journal = {IEEE Access},
doi = {10.1109/access.2023.3283931},
url = {https://doi.org/10.1109/access.2023.3283931}
}RIS
TY - JOUR TI - Resource-Aware Scene Text Recognition Using Learned Features, Quantization, and Contour-Based Character Extraction AU - Olutosin Ajibola Ademola AU - Eduard Petlenkov AU - Mairo Leier PY - 2023 JO - IEEE Access DO - 10.1109/access.2023.3283931 UR - https://doi.org/10.1109/access.2023.3283931 ER -
APA
Ademola, O. A., Petlenkov, E., & Leier, M. (2023). Resource-Aware Scene Text Recognition Using Learned Features, Quantization, and Contour-Based Character Extraction. IEEE Access. https://doi.org/10.1109/access.2023.3283931
Source records
- crossref · retrieved 2026-09-25T03:23:07.990Z