License Plate Recognition for Campus Auto-gate System

Ammar Alkahtani, Nur Liyana Yaacob, Fuad Noman, Ahmed Zuhdi, Dhuha Habeeb


Several license plate recognition (LPR) techniques have been reported in the literature for the past three decades and it remains a challenging research task. It has been applied in various intelligent transportation and surveillance systems although researchers are still trying to improve the accuracy of detection and recognition in these systems. 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.

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