2022年7月14日 · This paper proposes a novel memory and time-efficient automatic license plate recognition (ALPR) system developed using YOLOv5. This approach is ideal for IoT devices that usually have less memory and processing power.

This paper presents a robust and efficient ALPR system based on the state-of-the-art YOLO object detector. The Convolutional Neural Networks (CNNs) are trained and finetuned for each ALPR stage so that they are robust under different conditions (e.g., variations in camera, lighting, and background).

2025年1月23日 · Sukaina, et al They proposed (ALPR) to identify Arabic license plates in various formats and detect all of these varieties of license plates using the MATLAB program. In order to achieve this, a number of preprocessing and recognition algorithms as well as identification strategies based on faster R-CNN with VGG16 network to spot vehicles and ...

2023年3月29日 · In this paper, we will explain how we applied two object detection algorithms to build a system capable of recognizing and extracting Moroccan license plates from images. We used transfer learning on YOLOv5 and Faster-RCNN and trained them both on 724 images of Moroccan registered vehicles to obtain a system that can support a parking system.

2024年5月23日 · YOLO model is trained and fine-tuned for each ALPR stage to ensure robustness under different conditions such as variations in camera, lighting, weather conditions and background. Especially for character segmentation and recognition, we design a two-stage approach employing double data augmentation tricks such as inverted License Plates (LPs ...

This repository implements Faster RCNN for Automatic License Plate Recognition (ALPR), which includes License Plate detection and Characters recognition. - Philo ...

2019年12月20日 · In our work, we propose a fully functional, end to end solution for license plate recognition in India, considering all irregularities. Our system uses a series of the state-of-the-art Faster...

2022年7月14日 · This paper proposes a novel memory and time-efficient automatic license plate recognition (ALPR) system developed using YOLOv5. This approach is ideal for IoT devices that usually have less...

2018年2月26日 · The Convolutional Neural Networks (CNNs) are trained and fine-tuned for each ALPR stage so that they are robust under different conditions (e.g., variations in camera, lighting, and background). Specially for character segmentation and recognition, we design a two-stage approach employing simple data augmentation tricks such as inverted License ...

2019年11月29日 · This research proposes a method for automatic license plate recognition (ALPR) using the Faster R-CNN with InceptionV2 feature extractor that works in the Philippines. While there exist character recognition systems, there still remains difficulty in recognition due to different variations of Philippine license plates.