Abstract: A number plate recognition system is a security mechanism. The number plate identification system makes use of the concept of image processing. The vehicle number plate image is also read using an OCR (Optical Character Recognition) approach. Numerous applications exist for number plate recognition systems. Toll road authorities, for instance, use these systems to allow cars to enter toll roads by automatically identifying the license plates of the vehicles, providing them with a pay slip, and then opening the road for that particular vehicle.
The parking authority also uses this technology to give cars authorization to park in their area. Using this method, we first capture an image of the license plate, process it, and then check that every character is read accurately. acknowledgement. The most crucial step is OCR, which transforms the text on the license plate image into letters that can be decoded later. This research article presents the entire network flow and methodology for VLPR along with a few of its useful applications. The exactness (outcome) of the VLPR system, which is based on template matching, was determined to be between 75 and 85 percent for Indian number plates.
Keywords: Vehicle license plate recognition, Recognition System, Image processing, Pattern recognition, Machine learning
Cite:
Rahul Bankar, Pruthviraj Chavan, Sagar kamble, Mr.R.S. Piske, "VEHICLE LICENSE PLATE RECOGNITION SYSTEM", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 12, no. 1, 2024, Crossref https://doi.org/10.17148/IJIREEICE.2024.12211.