🚗 Artificial License Plate Recognition using openALPR, openCV, Tesseract. Was integrated using Google Cloud's Compute Engine.

Contains code for character segmentation ,etc.

車牌偵測辨識系統

Through the use of Contrast Limited Adaptive Histogram Equalization (CLAHE) filters, completed with otsu filters, a direct reading of car license plates with success rates above 70% and an acceptable time is achieved

Computer vision project for license plate recognition and vehicle tracking, implemented using Python, OpenCV, and deep learning models."

This model takes an image, detects the number plate and then predicts the numbers.

Deploy yolov6 for easier testing and presenting

Real Time License Plate Recognition System with YOLOv3

Using together cv2's findcontours and Haarcascade license plate detection together with the application of an extensive set of filters

This is a desktop application designed to recognize and detect car license plates of the Russian Federation. The application uses a pre-trained neural network model on TensorFlow Lite to perform the task of recognizing license plates, and also provides a user-friendly interface created using Qt Designer.

Hands-On ANPR project

Simple License plate recognition

This work is an extension of the project https://github.com/ablanco1950/LicensePlate_RoboflowAPI_Filters_PaddleOCR adding the possibility to detect the speed

Sebuah Service Untuk Menangani Image Request dalam bentuk Object Plat Nomor

License Plate Recognition and Detection system using deep learning techniques, enhancing accuracy, security and automation

Official code for 'Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach' (SIBGRAPI 2024)

License plate detection using Python and OpenCV(a python library). Image processing techniques are used to locate and detect the license plate and Optical Character Recognition is used to extract the License number.