FastRec

📜 Description:

The project "FastRec" is a Vehicle Liscence Plate Recognition system. It detects the liscense plate of a vehicle from an Image, and then extracts it into Text format as shown in demo. First it reads the Image in Grayscale and Blur. Then the bilateral filter is applied and the edged are found for localization. Later, we find the Contours and apply Mask. Finally used Easy OCR to read text and Renders the result.

📽 Sample Demo:

🏗 Built With:

• Python.
• Jupyter Notebook.
• easyocr.
• OpenCV.

💥 How to Contribute?

• Take a look at the Existing Issues or create your own Issues!
• Wait for the Issue to be assigned to you after which you can start working on it.
• Fork the Repo and create a Branch for any Issue that you are working upon.
• Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it.
• Add Screenshots to help me know what this Code is all about.

👦 Developed By:

Akash Ramjyothi

               ☎️ PH:+91 8939928002.

🌐 References Used:

• https://medium.com/programming-fever/license-plate-recognition-using-opencv-python-7611f85cdd6c
• https://www.pyimagesearch.com/2020/09/21/opencv-automatic-license-number-plate-recognition-anpr-with-python/
• https://www.youtube.com/watch?v=NApYP_5wlKY