@inproceedings{d52fabf3dfa3447bbb5b94f32140876f,
title = "Super-resolution of license plate images via character-based perceptual loss",
abstract = "License Plate Recognition (LPR) is an highly influential problem in computer vision. In this paper, we present a super-resolution model specialized for the license plate images, CSRGAN, trained with a novel character-based perceptual loss. Specifically, we focus on the character-level recognizability of the super-resolved images rather than the pixel-level reconstruction. Experimental results validate the benefits of our proposed method in both quantitative and qualitative aspects. In particular, our method achieves a higher character-level recognition accuracy over the state-of-the-art image super-resolution techniques.",
keywords = "Generative, License plate recognition, Super-resolution",
author = "Seyun Lee and Kim, \{Ji Hwan\} and Heo, \{Jae Pil\}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020 ; Conference date: 19-02-2020 Through 22-02-2020",
year = "2020",
month = feb,
doi = "10.1109/BigComp48618.2020.000-1",
language = "English",
series = "Proceedings - 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "560--563",
editor = "Wookey Lee and Luonan Chen and Yang-Sae Moon and Julien Bourgeois and Mehdi Bennis and Yu-Feng Li and Young-Guk Ha and Hyuk-Yoon Kwon and Alfredo Cuzzocrea",
booktitle = "Proceedings - 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020",
}