![]() ![]() ![]() ![]() So, we can perform OCR (Optical Character Recognition) on it to detect the number. Now, the new image that we obtained in the previous step is sure to have some characters (Numbers/Alphabets) written on it. Again this can be done easily using OpenCV. Once we have detected the License Plate we have to crop it out and save it as a new image. This gets trickier if the image does not even have a car, in this case we will an additional step to detect the car and then the license plate. Normally the detection algorithm is trained based on the position of camera and type of number plate used in that particular country. The accuracy can be improved if we know the exact size, color and approximate location of the number plate. We will use the contour option in OpenCV to detect for rectangular objects to find the number plate. The first step is to detect the License plate from the car. model.predict() Now we are detecting number plate. And also we predicted the model of that image using.
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