Title

Extraction, segmentation and recognition of vehicle’s license plate numbers

Document Type

Conference Proceeding

Publisher

Springer Nature

Place of Publication

Cham, Switzerland

School

School of Engineering

Comments

Originally published as:

Chai, D., & Zuo, Y. (2018, April). Extraction, Segmentation and Recognition of Vehicle’s License Plate Numbers. In Future of Information and Communication Conference(pp. 724-732). Springer, Cham.

Original article available here.

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.

DOI

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

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