License Plate Recognition
20 papers with code • 10 benchmarks • 14 datasets
Benchmarks
These leaderboards are used to track progress in License Plate Recognition
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Datasets
CCPD
AOLP
UFPR-ALPR
SSIG-SegPlate
RodoSol-ALPR
ChineseLP
EnglishLP
Caltech Cars
Most implemented papers
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
We address three key requirements for practical attacks for the real-world: 1) automatically constraining the size and shape of the attack so it can be applied with stickers, 2) transform-robustness, i. e., robustness of a attack to environmental physical variations such as viewpoint and lighting changes, and 3) supporting attacks in not only white-box, but also black-box hard-label scenarios, so that the adversary can attack proprietary models.
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
Second, we propose to predict the quadrilateral bounding box in the local region by regressing the four corners of the license plate to robustly detect oblique license plates.
On the Cross-dataset Generalization in License Plate Recognition
Automatic License Plate Recognition (ALPR) systems have shown remarkable performance on license plates (LPs) from multiple regions due to advances in deep learning and the increasing availability of datasets.
An advanced combination of semi-supervised Normalizing Flow & Yolo (YoloNF) to detect and recognize vehicle license plates
oublalkhalid/MoroccoAI-Data-Challenge
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Firstly, a two-stage network using YOLO and a normalization flow-based model for normalization to detect Licenses Plates (LP) and recognize the LP with numbers and Arabic characters.
IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
Also, the largest Iranian dataset for recognizing the characters of a license plate has 5, 000 images.
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
franziska-schirrmacher/lpr-uncertainty
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Such an uncertainty measure allows to detect false predictions, indicating an analyst when not to trust the result of the automated license plate recognition.
Character Time-series Matching For Robust License Plate Recognition
chequanghuy/Character-Time-series-Matching
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International Conference on Multimedia Analysis and Pattern Recognition (MAPR) 2022
Automatic License Plate Recognition (ALPR) is becoming a popular study area and is applied in many fields such as transportation or smart city.
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition
OfficialBishal/GeomMaskAttack
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Reading dirty license plates accurately in moving vehicles is challenging for automatic license plate recognition systems.
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN
Automated License Plate Recognition(ALPR) is a system that automatically reads and extracts data from vehicle license plates using image processing and computer vision techniques.
A Dataset and Model for Realistic License Plate Deblurring
haoygong/lpdgan
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Vehicle license plate recognition is a crucial task in intelligent traffic management systems.
