License plate recognition for campus auto-gate system

• Main Authors: Yaacob N.L., Alkahtani A.A., Noman F.M., Zuhdi A.W.M., Habeeb D.
• Other Authors: 57219416293
• Format: Article
• Published: Institute of Advanced Engineering and Science 2023
• Institution: Universiti Tenaga Nasional

Automatic licence plate recognition (LPR) has been a subject of study for the last few decades. Considering the recent advancements in machine learning methods and portable devices, this increasingly attracting researchers� interest to provide more reliable LPR systems. Several LPR techniques have been reported in the literature in different intelligent transportation applications and surveillance systems, and yet a ropust LPR system remains a challenging research task. Because the performance of current techniques is subject to several factors and local conditions, this paper aims to explore the use of LPR in a specific application; i.e. Automatic plate recognition to monitor the entry and exit of vehicles at the university campus gates. Implementing an auto-gate system is an important application for a smooth control of flowing traffic especially during peak hours. We propose an automated system with the ability to capture, verify and recognize the license plates using image processing-based techniques. The system is aimed to work alongside existing access cards and other gate remote controls. Experimental evaluation of the system reveals a detection accuracy of 91.58%, a successful plate number segmentation rate of 91% and 80% accuracy of plate recognition. � 2021 Institute of Advanced Engineering and Science. All rights reserved.