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2019 | OriginalPaper | Chapter

Extraction, Segmentation and Recognition of Vehicle’s License Plate Numbers

Authors : Douglas Chai, Yangfan Zuo

Published in: Advances in Information and Communication Networks

Publisher: Springer International Publishing

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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.

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Literature
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Metadata
Title
Extraction, Segmentation and Recognition of Vehicle’s License Plate Numbers
Authors
Douglas Chai
Yangfan Zuo
Copyright Year
2019
Book
Advances in Information and Communication Networks

Print ISBN: 978-3-030-03404-7

Electronic ISBN: 978-3-030-03405-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-03405-4_52