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Edge-Based Licence-Plate Template Matching for Identifying Similar Vehicles

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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.
Title: Edge-Based Licence-Plate Template Matching for Identifying Similar Vehicles
Description:
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.

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