With the development of deep learning, Neural Network is commonly adopted to the License Plate Detection (LPD) task and achieves much better performance and precision, especially CNN-based networks can achieve state of the art RetinaNet[1]. For a single object detection task such as LPD, modified general object detection would be time-consuming, unable to cope with complex scenarios and a cumbersome weights file that is too hard to deploy on the embedded device.
@article{arxiv.2112.12070,
title = {A Single-Target License Plate Detection with Attention},
author = {Wenyun Li and Chi-Man Pun},
journal= {arXiv preprint arXiv:2112.12070},
year = {2021}
}