Skip to main content
Springer Nature Link
Log in

Detection of Road Sign Using Edge Detection Method

  • Conference paper
  • First Online:
Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1380))

  • 789 Accesses

Abstract

Automobile industries have developed many features for providing safety to the vehicles. Among these, a feature known as road sign detection system is under the research topic in Automobile safety. Thus, this paper has proposed a feature which will be present in a vehicle and will help the driver to detect the road sign through image processing. It includes the algorithm regarding the detection of a road sign by using three stage detection method which are color, shape and sign respectively. The method used has been applied to a set 100 images in which the results have also been discussed and it was found that around 98% cases the proposed system is found to be effective. It has also considered the various exceptions which occurred during the implementation.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Dean, H.N., Jabir, K.V.T.: Real time detection and recognition of indian traffic signs using Matlab. Int. J. Sci. Eng. Res. 4(5), 684–690 (2013)

    Google Scholar 

  2. Shoba, E., Suruliandi, A.: Performance analysis on road sign detection, extraction and recognition techniques. In: 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT). IEEE (2013)

    Google Scholar 

  3. Santosh, K.C., Lamiroy, B., Wendling, L.: Symbol recognition using spatial relations. Pattern Recognit. Lett. 33(3), 331–341 (2012)

    Article  Google Scholar 

  4. Santosh, K.C., Lamiroy, B., Wendling, L.: Integrating vocabulary clustering with spatial relations for symbol recognition. Int. J. Doc. Anal. Recognit. 17(1), 61–78 (2014). https://doi.org/10.1007/s10032-013-0205-4

    Article  Google Scholar 

  5. Santosh, K.C., Lamiroy, B., Wendling, L.: DTW-radon-based shape descriptor for pattern recognition. Int. J. Pattern Recognit. Artif. Intell. 27(3), 1350008 (2013)

    Article  MathSciNet  Google Scholar 

  6. Sallah, S.S.Md., Hussin, F.A., Yusoff, M.Z.: Road sign detection and recognition system for real-time embedded applications. In: 2011 International Conference on Electrical, Control and Computer Engineering (INECCE). IEEE (2011)

    Google Scholar 

  7. Gonzalez, R.C., Woods, R.E.: Digital image processing [M]. Publishing house of electronics industry 141. 7 (2002)

    Google Scholar 

  8. Gonzalez, R.C.: Digital Image Processing Using Matlab-Gonzalez Woods & Eddins. pdf. Education, 609 (2004)

    Google Scholar 

  9. https://fourier.eng.hmc.edu/e161/lectures/ColorProcessing/node2.html

  10. https://www.indiandrivingschools.com/cautionary-signs.php

Download references

Author information

Authors and Affiliations

  1. Vidyalankar School of Information Technology, Wadala, Mumbai, India

    Prabal Deep Das & Bhavesh D. Shah

Authors
  1. Prabal Deep Das
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bhavesh D. Shah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Prabal Deep Das or Bhavesh D. Shah .

Editor information

Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

    Bharti Gawali

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Das, P.D., Shah, B.D. (2021). Detection of Road Sign Using Edge Detection Method. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-0507-9_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0506-2

  • Online ISBN: 978-981-16-0507-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics