Abstract
Vehicle cloning, the act of duplicating licence plates and in some cases whole car is an emerging threat which presents a challenge that has not been catered for in existing solutions. Although the Automatic Licence plate Recognition (ALPR) system has been at a mature stage for a while, this unique problem is not addressed, and we have not come across any commercial solution either. This paper is first to address two key areas in enhancement of ALPR system. First the evaluation metric was developed to address unfairness of accuracy of string level match enhancing accuracy from 43% to 96%. Secondly, we introduced a novel framework using 'Usual Route Identification' algorithm to analyse a Vehicle's usual journey which helps to flag if unusual routes are taken or located outside off a set radius indicating a potential case of vehicle cloning. This study will show how appropriate metric can enhance the capability of ALPR systems, proposes a functionality that aids law enforcement authorities, and adds to academic knowledgebase.