Chinese License Plate Recognition
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TransLPRNet: Lite Vision-Language Network for Single/Dual-line Chinese License Plate Recognition
arXiv:2507.17335v2 Announce Type: replace Abstract: License plate recognition in open environments is widely applicable across various domains; however, the diversity of license plate types and imaging conditions presents significant challenges. To address the limitations encountered by CNN and CRNN-based approaches in license plate recognition, this paper proposes a unified solution that integrates a lightweight visual encoder with a text decoder, within a pre-training framework tailored...
LPTR-AFLNet: Lightweight Integrated Chinese License Plate Rectification and Recognition Network
Announce Type: replace Abstract: Chinese License Plate Recognition (CLPR) faces numerous challenges in unconstrained and complex environments, particularly due to perspective distortions caused by various shooting angles and the correction of single-line and double-line license plates. Considering the limited computational resources of edge devices, developing a low-complexity, end-to-end integrated network for both correction and recognition is essential for achieving real-time and...