To follow through this tutorial, the reader needs to: Creating a license plate detection and recognition program.Processes a software undergoes to detect and recognize a license plate.A person using Windows or Linux can follow through. We will use the pycharm community edition as our IDE since it is freely available on the internet. ![]() In this tutorial, we are going to learn the processes software passes to detect and recognize a number plate, how to use the three libraries we did mention above to create our program, and finally how to create a program that is capable of detecting and recognizing a license plate. We achieve this by using three of its libraries pytesseract, imutils, and OpenCv. Python gives us the ability to create our license plate detection and recognition program. The list of its applications goes on and on. In parking lots, it is used to capture the license plates of the cars being parked. ![]() In security, it is used to capture the license plates of the vehicles getting into and out of certain premises. On roads, it is used to identify the cars that are breaking the traffic rules. License plate detection and recognition is the technology that uses computer vision to detect and recognize a license plate from an input image of a car. Recognition is identifying the values that make up the license plate. ![]() License plate detection is identifying the part of the car that is predicted to be the number plate.
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