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Future of Information and Communication Conference

FICC 2018: Advances in Information and Communication Networks pp 724–732Cite as

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

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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References

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Author information

Authors and Affiliations

  1. School of Engineering, Edith Cowan University, Perth, Australia

    Douglas Chai & Yangfan Zuo

Authors
  1. Douglas Chai
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  2. Yangfan Zuo
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Corresponding author

Correspondence to Douglas Chai .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, New Delhi, India

    Rahul Bhatia

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Chai, D., Zuo, Y. (2019). Extraction, Segmentation and Recognition of Vehicle’s License Plate Numbers. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-030-03405-4_52

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03404-7

  • Online ISBN: 978-3-030-03405-4

  • eBook Packages: EngineeringEngineering (R0)

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