License Plate Restoration System

Meng Chen Luo, Chia Yu Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

The advent of intelligent transportation systems has led to the direct recognition of license plates by license plate recognition systems. However, the system is affected by environmental factors, such as underexposure, resulting in over-dark images. In this paper, we propose a two-stage restoration system to address these issues. In the first stage, we use image processing to enhance the license plate, and in the second stage, we employ a deep learning model to further repair the license plate. Our approach has greatly improved the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) metrics, increasing by 3.8094 and 0.0137.

原文???core.languages.en_GB???
主出版物標題2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面333-334
頁數2
ISBN(電子)9798350324174
DOIs
出版狀態已出版 - 2023
事件2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
持續時間: 17 7月 202319 7月 2023

出版系列

名字2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

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???event.eventtypes.event.conference???2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
國家/地區Taiwan
城市Pingtung
期間17/07/2319/07/23

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