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

  • Douglas ChaiEmail author
  • Yangfan Zuo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 887)

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.

Keywords

Automatic Number Plate Recognition (ANPR) Automatic License Plate Recognition (ALPR) Image analysis Monitoring and surveillance 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of EngineeringEdith Cowan UniversityPerthAustralia

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