• Rajni Kant Singh
• Preetam Kumar Yadav
• Rohit Kumar
• Gavendra Singh

In every nation, traffic control and identifying the owners of vehicles have grown to be serious issues. It might be challenging to recognise car owners who drive excessively fast and against the regulations of the road. Because the traffic officer or person may not be able to identify or recover the car number from the moving vehicle, it is impossible to catch and penalise those kinds of persons. This is as a result of the vehicle's speed. Therefore, one of the solutions to this problem is the development of Automatic Number Plate Recognition (ANPR) technology. There are several ANPR systems on the market right now. Despite the fact that these systems are based on many techniques, the challenge of identifying vehicles at high speeds, with non-uniform number plates, in languages other than English, and in diverse lighting situations is still quite difficult. The majority of the systems function with these restrictions. In this essay, we've talked about the Python-based ANPR system. The system can recognize single and double line number plates under widely varying illumination conditions with a success rate of about 93%.

Number Plate Recognition, Python

"Automatic Number Plate Detection System Using Python ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d327-d330, November-2023, Available :http://www.jetir.org/papers/JETIR2311343.pdf

"Automatic Number Plate Detection System Using Python ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd327-d330, November-2023, Available at : http://www.jetir.org/papers/JETIR2311343.pdf