# Vehicle License Plate Recognition

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/vehicle-license-plate-recognition/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the development and application of automatic license plate recognition systems, utilizing techniques such as deep learning, convolutional neural networks, and character segmentation. The research covers various aspects including vehicle identification, real-time recognition, and integration with intelligent transportation systems. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12707 |
| Works | 85 |

## Topic papers all

Showing 15 of 85.

- [Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment](https://scholariq.org/papers/geometric-a-star-algorithm-an-improved-a-star-algorithm-for-agv-path-planning-in/)
- [An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis](https://scholariq.org/papers/an-optimized-model-based-on-convolutional-neural-networks-and-orthogonal/)
- [The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters](https://scholariq.org/papers/the-effective-use-of-the-one-class-svm-classifier-for-handwritten-signature/)
- [A New Local Adaptive Thresholding Technique in Binarization](https://scholariq.org/papers/a-new-local-adaptive-thresholding-technique-in-binarization/)
- [Yolo V4 for Advanced Traffic Sign Recognition With Synthetic Training Data Generated by Various GAN](https://scholariq.org/papers/yolo-v4-for-advanced-traffic-sign-recognition-with-synthetic-training-data/)
- [Crop leaf disease recognition based on Self-Attention convolutional neural network](https://scholariq.org/papers/crop-leaf-disease-recognition-based-on-self-attention-convolutional-neural/)
- [Indian traffic sign detection and recognition using deep learning](https://scholariq.org/papers/indian-traffic-sign-detection-and-recognition-using-deep-learning/)
- [Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4](https://scholariq.org/papers/deep-convolutional-neural-network-for-enhancing-traffic-sign-recognition/)
- [Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model](https://scholariq.org/papers/reliable-parkinson-s-disease-detection-by-analyzing-handwritten-drawings/)
- [Synthetic Data generation using DCGAN for improved traffic sign recognition](https://scholariq.org/papers/synthetic-data-generation-using-dcgan-for-improved-traffic-sign-recognition/)
- [CPD: Faster RCNN-based DragonBall Comic Panel Detection](https://scholariq.org/papers/cpd-faster-rcnn-based-dragonball-comic-panel-detection/)
- [Benchmarking on offline Handwritten Tamil Character Recognition using convolutional neural networks](https://scholariq.org/papers/benchmarking-on-offline-handwritten-tamil-character-recognition-using/)
- [BanglaLekha-Isolated: A multi-purpose comprehensive dataset of Handwritten Bangla Isolated characters](https://scholariq.org/papers/banglalekha-isolated-a-multi-purpose-comprehensive-dataset-of-handwritten-bangla/)
- [Vector quantization for license-plate location and image coding](https://scholariq.org/papers/vector-quantization-for-license-plate-location-and-image-coding/)
- [An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders](https://scholariq.org/papers/an-efficient-blood-cell-segmentation-for-the-detection-of-hematological/)

## Topic primary papers

Showing 15 of 18.

- [CPD: Faster RCNN-based DragonBall Comic Panel Detection](https://scholariq.org/papers/cpd-faster-rcnn-based-dragonball-comic-panel-detection/)
- [Real-Time Traffic Sign Detection and Recognition Method Based on Simplified Gabor Wavelets and CNNs](https://scholariq.org/papers/real-time-traffic-sign-detection-and-recognition-method-based-on-simplified/)
- [Sleep Spindle Detection Using RUSBoost and Synchrosqueezed Wavelet Transform](https://scholariq.org/papers/sleep-spindle-detection-using-rusboost-and-synchrosqueezed-wavelet-transform/)
- [Lightweight fully convolutional network for license plate detection](https://scholariq.org/papers/lightweight-fully-convolutional-network-for-license-plate-detection/)
- [Automated License Plate Detection and Recognition using YOLOv8 and OCR With Tello Drone Camera](https://scholariq.org/papers/automated-license-plate-detection-and-recognition-using-yolov8-and-ocr-with/)
- [A Deep Learning Model for Traffic Sign Detection and Recognition using Convolution Neural Network](https://scholariq.org/papers/a-deep-learning-model-for-traffic-sign-detection-and-recognition-using/)
- [High-Security Registration Plate Detection using OpenCV and Python](https://scholariq.org/papers/high-security-registration-plate-detection-using-opencv-and-python/)
- [A Review on Applications of Optimization Using Bat Algorithm](https://scholariq.org/papers/a-review-on-applications-of-optimization-using-bat-algorithm/)
- [An Offline Image Auditing System for Legacy Meter Reading Systems in Developing Countries: A Machine Learning Approach](https://scholariq.org/papers/an-offline-image-auditing-system-for-legacy-meter-reading-systems-in-developing/)
- [RILP: Robust Iranian License Plate Recognition Designed for Complex Conditions](https://scholariq.org/papers/rilp-robust-iranian-license-plate-recognition-designed-for-complex-conditions/)
- [WITHDRAWN: Intelligent dustbin: A strategic plan for smart cities](https://scholariq.org/papers/withdrawn-intelligent-dustbin-a-strategic-plan-for-smart-cities/)
- [Fusion Model for Traffic Sign Detection, Tracking and Recognition](https://scholariq.org/papers/fusion-model-for-traffic-sign-detection-tracking-and-recognition/)
- [Plate Number Recognition Using Segmented Method With Artificial Neural Network](https://scholariq.org/papers/plate-number-recognition-using-segmented-method-with-artificial-neural-network/)
- [Detection of Emergency Vehicles in Traffic and Assign Traffic Free Path Using Deep Learning](https://scholariq.org/papers/detection-of-emergency-vehicles-in-traffic-and-assign-traffic-free-path-using/)
- [LPRNet Improvement for License Plate Recognition in Complex Environments](https://scholariq.org/papers/lprnet-improvement-for-license-plate-recognition-in-complex-environments/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.