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Assignment Demo - License Plate Recognition using OpenCV Python

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By Ashiyaa Bibi Nunhuck
BSc Computer Science Year 3
CSE 3093Y Assignment March 2021 (Sample Demo)
It is an image-processing technology used to identify vehicles by their license plates.
In order to successfully detect the license plate, 3 steps is being followed.
1. Detection of the License Plate
The contour option in OpenCV is used for rectangular objects detection which is ideal for the detection of the number plate in the input image.
The algorithm used for detection is trained with respect to the camera position and number plate type used in the specific country.
2. Segmentation of Characters
After detecting the respective license plate, it is cropped out and saved as a new image. OpenCV does the work.
3. Recognition of Characters
The new image is more focused since it is the car plate and hence has numbers and characters written on it as plate generally does.
An Optical Character Recognition is performed to detect the number.
BSc Computer Science Year 3
CSE 3093Y Assignment March 2021 (Sample Demo)
It is an image-processing technology used to identify vehicles by their license plates.
In order to successfully detect the license plate, 3 steps is being followed.
1. Detection of the License Plate
The contour option in OpenCV is used for rectangular objects detection which is ideal for the detection of the number plate in the input image.
The algorithm used for detection is trained with respect to the camera position and number plate type used in the specific country.
2. Segmentation of Characters
After detecting the respective license plate, it is cropped out and saved as a new image. OpenCV does the work.
3. Recognition of Characters
The new image is more focused since it is the car plate and hence has numbers and characters written on it as plate generally does.
An Optical Character Recognition is performed to detect the number.
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