Design of Enhanced License Plate Information Recognition Algorithm Based on Environment Perception
Aiming at the problem of difficulty in completely and accurately identifying number plate information in bad weather, this study proposes an algorithm based on environmental perception and the enhanced recognition of number plate information. Based on the YOLOv11 framework, we developed a histogram...
Saved in:
| Main Authors: | Zilu Wang, Limin Zheng, Gang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10900379/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic License Plate Recognition: A Review with Indonesian Case Study
by: Aris Budianto
Published: (2018-11-01) -
A Deep Learning Framework of Super Resolution for License Plate Recognition in Surveillance System
by: Pei-Fen Tsai, et al.
Published: (2025-05-01) -
Application-oriented Farsi license plate recognition using deterministic clustering algorithm and MSER detector
by: Mohammad Mehdi Zeinali, et al.
Published: (2024-02-01) -
Automated Indonesian Plate Recognition: YOLOv8 Detection and TensorFlow-CNN Character Classification
by: Windu Gata, et al.
Published: (2025-06-01) -
Automatic license-plate recognition
by: A. V. Poltavskii, et al.
Published: (2020-03-01)