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

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.

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Link to publisher version (DOI)

10.1007/978-3-030-03405-4_52