Skip to main content

An Efficient Method of License Plate Location Based on Structure Features

  • Conference paper
Business, Economics, Financial Sciences, and Management

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 143))

Abstract

License plate recognition system is an important part of intelligent transportation system, while the vehicle license plate location is the key of it. In this paper, a new method of license plate (LP) positioning is proposed. In this method, firstly, the input image is preprocessed. Then, the texture and color features are used to remove most of disturbance. After that, the regions which have the structure and texture that is similar to the license plate are extracted. Finally, pseudo-region is eliminated and true LP is precisely located. The working principle is taking full advantages of plate texture, color characteristic and structure features to choose candidate regions. Experimental results illustrate that the method is robust and can increase the location accuracy distinctly.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 469.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 599.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yang, W.P., Li, J.C., Shen, Z.K.: Technique of Automatic Orientation of Car License Plate Targets. Journal of Image and Graphics, pp. 835–839 (2002)

    Google Scholar 

  2. Yanamura, Y., Goto, M., Nishiyama, D., Soga, M., Nakatani, H., Saji: Extraction and Tracking of The License Plate Using Hough Transform and Voted Block Matching. In: Proceedings of IEEE Intelligent Vehicles Symposium, pp. 243–246 (2003)

    Google Scholar 

  3. Li, W.J., Liang, D.Q., Zhang, Q., Fan, X.: A Novel Approach for Vehicle License Plate Location Based on Edge-Color Pair. Chinese Journal of Computers 27(2), 204–208 (2004)

    Google Scholar 

  4. Suryanarayana, P.V., Mitra, S.K., Banerjee, A., Roy, A.K.: A Morphology Based Approach for Car License Plate Extraction. In: IEEE Indicon 2005 Conference, Chennai, India, December 11-13, pp. 24–27 (2005)

    Google Scholar 

  5. Liu, G.Q., Zhang, X.S., Zhang, X.B.: License Plate Location Based on Texture Characteristic of Image. Journal of Image and Graphics 10(11), 1420–1423 (2005)

    Google Scholar 

  6. Yang, J., Qi, F.H.: A License Plate Locating Approach Based on Shape and Texture Characteristics. Computer Engineering 32(2), 15–22 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fan Ye .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Ye, F., Xie, M. (2012). An Efficient Method of License Plate Location Based on Structure Features. In: Zhu, M. (eds) Business, Economics, Financial Sciences, and Management. Advances in Intelligent and Soft Computing, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27966-9_81

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27966-9_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27965-2

  • Online ISBN: 978-3-642-27966-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics