License plate recognition
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This project is aimed to recognize the license plate of the vehicles by the CCTV camera and process the image by dividing it into number of chunks and recognizing it using machine learning from the previously loaded number images and get the details of the owner from the RTO API and displaying it. ...learn more
Project status: Under Development
Overview / Usage
This project is aimed to recognize the license plate of the vehicles by the CCTV camera and process the image by dividing it into number of chunks and recognizing it using machine learning from the previously loaded number images and get the details of the owner from the RTO API and displaying it.
Methodology / Approach
Image Preprocessing:
Using skimage modules preprocessing such as resizing, changing to greyscale is done.
Localization: Localization of license plate in the whole image.
Segmentation: Segmentation of each character in the license plate.
Building model: A Support Vector Classifier is built and trained to classify characters in the license plate.
Prediction: Later the SVM model is used to predict the characters.
Then all characters are joined to output the license plate number.
Further, the number is used to extract more information.
Technologies Used
Python, Machine Learning, Image Classification, SVM