Skip to main content
SpringerLink
Log in

The Recognition of the Vehicle License Plate Based on Modular Networks

  • Conference paper
Advances in Neural Networks – ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3173))

Included in the following conference series:

  • 1307 Accesses

Abstract

This paper presents a novel method of real-time recognizing the vehicle license based on the integrated modularized neural network. Some locations in the license plate contain Arabic numeral only and the others contain Arabic numeral, English letter or Chinese character. According to the complexity, the two kinds of network structures, ω i /ω j and ω i /ω i –, are organized and the outputs are integrated under the given fuzzy rules to perform the recognition tasks. The results of the experiments have shown that this method can recognize the characters quickly and accurately.

The National 863 Natural Science Foundation of P. R. China (2001AA636030) and the Natural Science Foundation of Shandong Province, P. R. China (Y2000G03), fully supported this research.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Ji, G., Ji, F.: The Location of the Vehicle License Plates Based on Modularized Networks. In: Proceedings of The 12th National Conference on Neural Networks, Beijing, pp. 655–660 (2002)

    Google Scholar 

  2. Chai, Z., Tao, Q., Yu, Y., He, X.: A Fast and Practicable Way to Recognize the Characters of Vehicle License Plate. Journal of Sichuan University (Natural Science Edition) 39(3), 465–468 (2002)

    Google Scholar 

  3. Liu, X., Cheng, Y.: A Research of Vehicle License Plate Automatic Recognition. Journal of Nanjing University of Aeronautics & Astronautics 30(5), 573–577

    Google Scholar 

  4. Zhao, Q.F.: A Study on Co-evolutionary Learning of Neural Networks. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS (LNAI), vol. 1141, Springer, Heidelberg (1996)

    Google Scholar 

  5. Zhao, Q.F.: A Combination of IEA and CEA. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS (LNAI), vol. 1141, Springer, Heidelberg (1996)

    Google Scholar 

  6. Lu, B.L., Bai, Y., Kita, H., Nishikawa, Y.: A Multisieving Neural-network Architecture That Decomposes Learning Tasks Automatically. In: Proc. IEEE Conf. Neural Networks, Orlando, FL, June 28-July 2, pp. 1319–1324 (1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Ocean University of China, Qingdao, 266003, China

    Guangrong Ji, Hongjie Yi & Bo Qin

  2. Institute of Laser Shandong Academy of Sciences, Jining, 272017, China

    Hua Xu

Authors
  1. Guangrong Ji
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hongjie Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bo Qin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hua Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ji, G., Yi, H., Qin, B., Xu, H. (2004). The Recognition of the Vehicle License Plate Based on Modular Networks. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_167

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28647-9_167

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22841-7

  • Online ISBN: 978-3-540-28647-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation