Shiu, Jia-Yin's Master Thesis Project: A super-resolution framework for license plate recognition based on deep learning
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Updated
Jul 4, 2024 - Python
Shiu, Jia-Yin's Master Thesis Project: A super-resolution framework for license plate recognition based on deep learning
🚗 Artificial License Plate Recognition using openALPR, openCV, Tesseract. Was integrated using Google Cloud's Compute Engine.
Contains code for character segmentation ,etc.
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
Scripts for object detection, license plate detection and face detection
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
License Plate Recognition and Detection system using deep learning techniques, enhancing accuracy, security and automation
Find the License plate of cars on images and use the license number as text.
A recognition licenses plates based in FindContours
It's a Wpod-net demo, downloaded from https://github.com/quangnhat185/Plate_detect_and_recognize, for the recognition of car license plates, the use of labeled images is avoided, with lower accuracy
License Plate Projection from a CCPD Dataset image to another car image (done in made 2022)
From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.
Goal of the project is to recognize license plates on images without using deep learning methods. Project was prepared for course "Vision systems". Final accuracy on test set was around 80-85%.
Analyzing Unique Car Visitors, based on location / color / frequency, using Pandas and Matplotlib.
License plate localizer using pre-trained YOLOv5, combined with text extraction using pre-trained TrOCR
A web app that automatically detects license plates in the image using OpenCV and provides the detected license plate number in a CSV format.
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