A Dataset and Model for Realistic License Plate Deblurring

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Vehicle license plate recognition is a crucial task in intelligent traffic management systems. However, the challenge of achieving accurate recognition persists due to motion blur from fast-moving vehicles. Despite the widespread use of image synthesis approaches in existing deblurring and recognition algorithms, their effectiveness in real-world scenarios remains unproven. To address this, we introduce the first large-scale license plate deblurring dataset named License Plate Blur (LPBlur), captured by a dual-camera system and processed through a post-processing pipeline to avoid misalignment issues. Then, we propose a License Plate Deblurring Generative Adversarial Network (LPDGAN) to tackle the license plate deblurring: 1) a Feature Fusion Module to integrate multi-scale latent codes; 2) a Text Reconstruction Module to restore structure through textual modality; 3) a Partition Discriminator Module to enhance the model's perception of details in each letter. Extensive experiments validate the reliability of the LPBlur dataset for both model training and testing, showcasing that our proposed model outperforms other state-of-the-art motion deblurring methods in realistic license plate deblurring scenarios. The dataset and code are available at https://github.com/haoyGONG/LPDGAN.

Original languageEnglish
Title of host publicationProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)
EditorsKate Larson
PublisherInternational Joint Conferences on Artificial Intelligence
Pages776-784
Number of pages9
ISBN (Electronic)9781956792041
DOIs
Publication statusPublished - Aug 2024
Event33rd International Joint
Conference on Artificial Intelligence (IJCAI-24)
-
Duration: 3 Aug 2024 → …

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)1045-0823

Conference

Conference33rd International Joint
Conference on Artificial Intelligence (IJCAI-24)
Period3/08/24 → …

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