Extraction, segmentation and recognition of vehicle’s license plate numbers
Abstract
In this paper, an automatic vehicle license plate recognition method for Western Australia license plates is proposed. The method consists of three stages, namely, (1) plate extraction; (2) character segmentation; and (3) character recognition. The primary techniques employed in each stage are edge detection, connected component analysis and template matching. An image set of 100 vehicles is generated and used to evaluate the algorithm. The experimental test shows the algorithm’s success rate of 97%, 97% and 98% in Stages 1, 2 and 3, respectively. The respective average time taken in each stage was 234 ms, 37 ms and 29 ms.
Document Type
Conference Proceeding
Date of Publication
2019
Location of the Work
Cham, Switzerland
Publisher
Springer Nature
School
School of Engineering
RAS ID
28392
Copyright
subscription content
Comments
Chai, D., & Zuo, Y. (2019). Extraction, Segmentation and Recognition of Vehicle’s License Plate Numbers. In Future of Information and Communication Conference(pp. 724-732). Springer, Cham.
Available here.