Our project is Gate Access Controller: A gate is open for specific cars based on their plate number, by capturing photographic images from license plates and transforming the optical data into digital information and taking a decision.

• Take input (image or video).
• Applying Edge Detection.
• Binarization.
• Filteration and Extraction.
• Check whether there is any License Plate or not
• If Yes: do morphological processing, if No: take new input
• License Plate Recognition and compare with database
• If License Plate matched open the gate if not do nothing

• Thresholding
• Segmentation
• Smoothing

• Morphological operations

  • Dilation
  • Erosion
  • Opening
  • Closing
• Template matching

• Python 3.9
• Jupyter Notebook
• Numpy
• PyQt5
• OpenCv
• Skimage
• Imutils
• Matplotlib
• functools

This is an list of needed instructions to set up your project locally, to get a local copy up and running follow these instructuins.

1. Clone the repository
   $ git clone [email protected]:MoazHassan2022/License-Plate-Recognition.git
2. Navigate to repository directory
   $ cd License-Plate-Recognition/
3. Install dependencies
   $ pip install numpy
   $ pip install PyQt5
   $ pip install opencv-python
   $ python -m pip install -U scikit-image
   $ pip install imutils
   $ python -m pip install -U matplotlib

• Open IDE that supports python(recommended: Pycharm)
• Do not forget to install the required packgaes & libraries
• Run the application.py

• Open the terminal and the following code
  $ cd Jupyter && jupyter notebook

1. Install QT tools

   $pip install pyqt5-tools

2. Start the designer

   $designer

1. Program Interface

   

2. Select image

   

3. After Select

   

4. Characters Recognition

   

5. Accepted Car

   

6. Another Car

   

7. Characters Recognition

   

8. Rejected Car (Do not have access regarding to the database)