Algorithm 1: The proposed algorithm

1. Start Video Capture 2. Read Video_Frame 3. Resize Video_Frame 4. Gray_Frame = Transform to grayscale (Video_Frame) 5. Apply filter to remove the noise (Gray_Frame) 6. Frame_Edges = Detect edges (Gray_Frame) 7. Frame_Contours = Find contours (Frame_Edges) 8. Sort (Frame_Contours) 9. Declare Number_Plate_Contour 10. Declare Largest_Rectangle 11. for Contour in Frame_Contours do 12.    Perimeter_Rectangle = Calculate perimeter (Contour) 13.    Approx_Rectangle = Find the approximate rectangle (Perimeter_Rectangle) 14.    if (length (Approx_Rectangle) == 4) then 15.      Number_Plate_Contour = Approx_Rectangle 16.      Largest_Rectangle = Find area (Approx_Rectangle) 17.      break 18. x,y,w,h = Calculate up-right bounding rectangle (Largest_Rectangle) 19. Cropped_Frame = Crop using x,y,w,h (Video_Frame) 20. Draw Largest_Rectangle contours on Video_Frame 21. Transform to grayscale (Cropped_Frame) 22. Frame_Threshold = Binarize (Cropped_Frame) 23. Kernel = New square object of size 1x1 24. Image_Dilation = Dilates using Kernel (Frame_Threshold) 25. Dilated_Image_Contours = Find contours (Image_Dilation) 26. Sorted_Dilated_Contours = Sort (Dilated_Image_Contours) 27. for Dilated_Contour in Sorted_Dilated_Contours 28.    x,y,w,h = Calculate up-right bounding rectangle (Dilated_Contour) 29.    Draw a rectangle of dimensions x,y,w,h on Video_Frame 30. end for 31. Transform to binary (Gray_Frame) 32. License_Plate_Characters = Transform to string (Gray_Frame) 33. if length(License_Plate_Characters) > 0 then 34.    Get License_Plate_Characters 35. end if 36. return Video_Frame