Hello Dear
Please check the below proposals :
- Reading the background image.
- Reading the current frame.
- Converting image frame from RGB to HSV color model
- Converting image from HSV to Grayscale model.
- Converting Grayscale to Binary image.
- performing Median Filter to remove noise.
- Boundary label the filtered image.
- Tracing region boundaries in a binary image.
- Displaying the result
- Reading background Subtraction resulting image.
- Selecting specific color for segmentation.
- Normalizing color values by Multiplying with 255. Where values are between 0 to 1.
- Comparing frame image pixels with the color rang.
- Isolating the selected color from the frame image.
Use Sobel operator: which uses two masks (vertical and
horizontal) is used on the selected image to detect and localize
edges. Then, the image is converted to binary image format which
is useful
The segmentation process
aims to divide the license plate into different regions then segment
each number, character and word into sub images
and you should work to solve the below
CHALLENGES IN EXISTING SYSTEM:
- Data extraction from the a vehicle number
- Difficulty in recognition of different shape and color
- Weaker result under illumination and complex background
- Difficulty in predicting when multiple cars are present on single frame.
- Misplaced character recognition