Proposed Automatic Number Plate Recognition System Using Machine Learning | IEEE Conference Publication | IEEE Xplore

Proposed Automatic Number Plate Recognition System Using Machine Learning


Abstract:

The growing population of Nigeria has subsequently led to a higher number of cars on the road. This has resulted in an increase in traffic violations and road-related cri...Show More

Abstract:

The growing population of Nigeria has subsequently led to a higher number of cars on the road. This has resulted in an increase in traffic violations and road-related crimes such as hit and run, kidnappings, robbery, etc. which have all contributed to road insecurity in the country. It has also made it increasingly difficult to keep track of vehicles for law enforcement and traffic management. Number plate recognition is still majorly carried out manually in most parts of Nigeria, which is neither efficient nor effective. Automatic Number Plate Recognition (ANPR) has therefore become an active field of study. ANPR technology is a means to help detect, deter and disrupt criminality at a local, regional and national level, which includes tackling traveling criminals, Organized Crime Groups and terrorists. In this paper, an ANPR system is proposed using Machine Learning Technique.
Date of Conference: 05-07 April 2022
Date Added to IEEE Xplore: 27 June 2022
ISBN Information:
Electronic ISSN: 2377-2697
Conference Location: Lagos, Nigeria

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