Performance comparison of various techniques for automatic licence plate recognition systems
by Nitin Sharma; Pawan Kumar Dahiya; Baldev Raj Marwah
International Journal of Cloud Computing (IJCC), Vol. 11, No. 2, 2022

Abstract: Automatic licence plate recognition (ALPR) system is direly needed nowadays for various applications like toll collection system, parking system, identification of stolen cars, incident management, electronic payment service, electronic customs clearance of commercial vehicle, automatic security roadside inspection, security monitoring in a car, emergency notification, and personal security, etc. An automatic licence plate recognition system performs three important processing steps on the input image, i.e., extraction, segmentation, and recognition. A number of algorithms are developed for these steps in the last few years. The result of which is significant improvement in the licence plate recognition. The aim of this study is a survey of the existing techniques for licence plate recognition. In this paper, a number of existing techniques for automatic licence plate recognition are presented and their benefits and limitations are discussed. Further, the paper also foresees the future scope in the area of automatic licence plate recognition system.

Online publication date: Fri, 08-Apr-2022

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