Automatic License/Number Plate Recognition (ANPR) with Python
License Plate Recognition is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. I made this using simple Python code. Steps involved in License Plate Recognition
License Plate Detection:
1. The first step is to detect the License plate from the car. We will use the contour option in OpenCV to detect for rectangular objects to find the number plate.
2. Character Segmentation: Once we have detected the License Plate we have to crop it out and save it as a new image. Again this can be done easily using OpenCV.
3. Character Recognition: Now , the new image that we obtained in the previous step is sure to have some characters (Numbers/Alphabets) written on it. So, we can perform OCR (Optical Character Recognition) on it to detect the number.
4. Putting the number on the webapp created : Once the recognition process is done , take the number and put on the webapp created to know the details about the vehicle such as owner name, model name and registration.
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Hello there. I have good experience with python and ocr programming. So hope more discuss with you. this kind of ALPR project i can handle. Hope wokr with you. Regards.
Yes we will make number plat recoginization software webwill provide you quality service at low price our aim is that client should be satisfied
Hi, I can do that educational project for you in python This kind of projects need to be more explicitly done If agree these please contact me on chat Thanks
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Hello, As a machine learning engineer, I have rich experienec of recognition of License/Number. I can start right now. and I can deliver high quality result in short time. Best regards.