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http://dx.doi.org/10.13088/jiis.2022.28.2.057

A study on the improvement of artificial intelligence-based Parking control system to prevent vehicle access with fake license plates  

Jang, Sungmin (College of Business Administration, Kookmin University)
Iee, Jeongwoo (College of Computing and Informatics, Sungkyunkwan University)
Park, Jonghyuk (College of Business Administration, Kookmin University)
Publication Information
Journal of Intelligence and Information Systems / v.28, no.2, 2022 , pp. 57-74 More about this Journal
Abstract
Recently, artificial intelligence parking control systems have increased the recognition rate of vehicle license plates using deep learning, but there is a problem that they cannot determine vehicles with fake license plates. Despite these security problems, several institutions have been using the existing system so far. For example, in an experiment using a counterfeit license plate, there are cases of successful entry into major government agencies. This paper proposes an improved system over the existing artificial intelligence parking control system to prevent vehicles with such fake license plates from entering. The proposed method is to use the degree of matching of the front feature points of the vehicle as a passing criterion using the ORB algorithm that extracts information on feature points characterized by an image, just as the existing system uses the matching of vehicle license plates as a passing criterion. In addition, a procedure for checking whether a vehicle exists inside was included in the proposed system to prevent the entry of the same type of vehicle with a fake license plate. As a result of the experiment, it showed the improved performance in identifying vehicles with fake license plates compared to the existing system. These results confirmed that the methods proposed in this paper could be applied to the existing parking control system while taking the flow of the original artificial intelligence parking control system to prevent vehicles with fake license plates from entering.
Keywords
Parking control system; Computer vision; Object detection; ORB algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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