Edge-Based Licence-Plate Template Matching for Identifying Similar Vehicles
Mduduzi Manana,
Chunling Tu,
Pius Adewale Owolawi
Affiliations
Mduduzi Manana
Department of Computers System Engineering, Faculty of Information and Communication Technology, Tshwane University of Technology, Soshanguve 0001, South Africa
Chunling Tu
Department of Computers System Engineering, Faculty of Information and Communication Technology, Tshwane University of Technology, Soshanguve 0001, South Africa
Pius Adewale Owolawi
Department of Computers System Engineering, Faculty of Information and Communication Technology, Tshwane University of Technology, Soshanguve 0001, South Africa
This paper presents licence-plate recognition for identifying vehicles with similar licence-plates. The method uses a modified licence-plate recognition pipeline, with licence-plate template matching replacing character segmentation and recognition. Only edge detection is used, combined with a method for calculating line ratio to locate and extract licence-plates. The extracted licence-plate templates are then compared for licence-plate matching. The results show that the method performs well in differing circumstances, and that it is computationally cost-effective. Results also show that licence-plate template matching is a reliable method of identifying similar vehicles, and has a lower computational cost when compared with character segmentation and recognition.
