This project is an example of how we can extract the number plate of a car image, by applying a series of image processing techniques. Considering:

• The image contains just 1 car
• The plate pattern is Mercosul

The following techniques sequence was applied in order to achiev the expected result:

1. Convert to Grayscale;
2. Black Hat Morphologial Transformations - to reveal characters against light backgrounds;
3. Close operation to fill gaps and little areas - to identify bigger structures;
4. Calculate the magnitude gradient (of axis x) of the Black Hat Transformation result image; . Put the result into [0, 255] scale
5. Smooth the image, apply another close transformation and another binary threshold using Otsu's method.

1. Clone this repo
2. Go to project folder
3. Start coding

# clone this repo
git clone https://github.com/virb30/anpr.git anpr
# cd to project folder
cd anpr

1. Login to Heroku Account
2. Create a new Heroku Project
3. Commit and push changes to heroku

# login to heroku account
heroku login
# create heroku project
heroku create [project-name]
# commit & push changes to heroku
git add .
git commit -m "deploy"
git push heroku master

https://number-plate-extractor.herokuapp.com/

Our goal is to continue to develop this project by adding some features in the future:

• Integrate with Google Vision AI (for testing purposes)