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A Study of the Automated Vehicle Number Plate Recognition System

Prince Rathore*, Puja Gupta**, Sarthak Jain***, Yash Shrivastava****

*-**** Department of Information Technology, Shri G. S. Institute of Technology and Science, Indore, Madhya Pradesh, India.

Periodicity:July - December'2022
DOI : https://doi.org/10.26634/jpr.9.2.19162

Abstract

Automatic Number Plate Recognition (ANPR) uses number plates to identify vehicles. The goal of an automated vehicle identification system is to identify the vehicle based on the number plate. The system enforces the regulations, parking, etc. It can also be used at the entrance to protect a large area, such as a military zone or the region around important government buildings like the military base, Parliament, Supreme Court, etc. The smart technology recognizes and captures the image of the vehicle. The number plate area of the vehicle is extracted using image segmentation on the image. Optical character recognition is used for character recognition. The performance data may also be compared to database records to determine the car owner, enrollment location, residence, etc. The testing showed that the improved algorithm easily recognized the number plate of a vehicle on genuine photographs.

Keywords

Automatic Number Plate Recognition, Image Recognition, Neural Network, Optical Character Recognition, Number Detection.

How to Cite this Article?

Rathore, P., Gupta, P., Jain, S., and Shrivastava, Y. (2022). A Study of the Automated Vehicle Number Plate Recognition System. i-manager’s Journal on Pattern Recognition, 9(2), 30-36. https://doi.org/10.26634/jpr.9.2.19162

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