Edge Detection Using CNN for the Localization of Non-standard License Plate

  • L. N. P. Boggavarapu
  • R. S. Vaddi
  • H. D. Vankayalapati
  • K. R. Anne
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)


Automatic license plate localization is one of the crucial steps for any intelligent transportation system. The location of the license plate is not same for all types of vehicles and in some developing countries the size of the license plate also varies. The localization of such a license plate requires a series of complex image processing steps in which edge detection plays major role, as the edges give crucial information regarding the location. In order to localize the license plate in real time, the amount of data to be processed must be minimized at the stage where the edges are identified. In this work we proposed Cellular Neural Network based edge detection for real time computation of edges. The performance of the proposed method has been evaluated over the collected database of 100 images with license plates located at different location. Based on the experimental results, we noted that Cellular Neural Network based edge detection improves the performance in non standard license plate localization when compared with traditional edge detection approaches.


Edge Detection Cellular Neural Network License Plate Edge Detection Algorithm Intelligent Transport System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Sun, G.: The Location and Recognition of Chinese Vehicle License Plates under Complex Backgrounds. Journal of multimedia 4 (2009)Google Scholar
  2. 2.
    Dubey, P.: Heuristic Approach for License Plate Detection, IEEE Transactions, September 15 (2005)Google Scholar
  3. 3.
    Martinsky, O.: Algorithmic and Mathematical Principles of Automatic Number Plate Recognition System, BRNO University of Technology (2007)Google Scholar
  4. 4.
    Bergenudd, E.: Low-Cost Real-Time License Plate Recognision for a Vehicle PC, KTH Electrical Engineering (2006)Google Scholar
  5. 5.
    Anagnostopoulos, C.N., Loumos, I., Kayafas, E.: A license plate recognition algorithm for Intelligent Transport applications. IEEE Transactions on Intelligent Transportation Systems 7(3) (2006)Google Scholar
  6. 6.
    Garcia-Osorio, C., Diez-Pastor, J.-F., Rodriguez, J.J., Maudes, J.: License Plate Number Recognition New Heuristics and a comparative study of classifier. In: 5th International Conference on Informatics in Control Automation and Robotics (2008)Google Scholar
  7. 7.
    Jain-Feng, X., Shao-Fa, L., Mian-Shu, Y.: Car License Plate Extraction using Color and Edge. In: Int. Conf. Machine Learning and Cybernetics, vol. 6. IEEE Press, Los Alamitos (2004)Google Scholar
  8. 8.
    Rattanathammawat, P., Chalidabhongse, T.H.: A Car Plate Detector using Edge Information. ISCIT (2006)Google Scholar
  9. 9.
    Al-Ghaili, A.M., Mashohor, S., Ismail, A., Ramli, A.R.: A New Vertical Edge Detection Algorithm and its Application. In: Int. Conf. Computer Engineering Systems, ICCES (March 2008)Google Scholar
  10. 10.
    Mahini, H., Kasaei, S., Dorri, F.: An Efficient Features-Based License Plate Localization Method. In: 18th International Conference on Pattern Recognition (2006)Google Scholar
  11. 11.
    Sarfraz, M., Ahmed, J., Ghazi, S.: Saudi Arabian License Plate Recognition System. In: Intenational Conference on Geometric Modeling and Graphics (2003)Google Scholar
  12. 12.
    Ozbay, S., Ercelebi, E.: Automatic Vehicle Identification by Plate Recognition, World Academy of Science, Engineering and Technology (2005)Google Scholar
  13. 13.
    Shapir, Dimov, V., Bonchev, S.D., Velichkov, V., Gluhchev, G.: Adaptive License Plate Image Extraction (2006)Google Scholar
  14. 14.
    Juneja, M., Sandhu, P.S.: Performance Evaluation of Edge Detection Techniques for Images in Spatial Domain. International Journal of Computer Theory and Engineering 1 (2009)Google Scholar
  15. 15.
    Neoh, H.S., Hazanchuk, A.: Adaptive Edge Detection for Real-Time Video Processing using FPGAs. Global Signal Processing (2004)Google Scholar
  16. 16.
    Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8 (1986)Google Scholar
  17. 17.
    Chua, L., Roska, T.: Cellular neural networks and visual computing: foundations and applications. Cambridge University Press, Cambridge (2005)Google Scholar
  18. 18.
    Kozek, Chua, L.: Genetic Algorithm for CNN Template Learning. IEEE Transactions on Circuits and Systems 40 (1993)Google Scholar
  19. 19.
    Vamsi Prakash, M.: CNN based non-linear image processing for robust Pixel Vision. Alpen-Adria-University, Klagenfurt (2009)Google Scholar
  20. 20.
    Kasaei, S., Hamidreza: New Morphology-Based Method for Robust Iranian Car Plate Detection and Recognition. International Journal of Computer Theory and Engineering 2 (2010)Google Scholar
  21. 21.
    Paunwala, C.N., Patnaik, S.: A Novel Multiple License Plate Extraction Technique for Complex Background in Indian Traffic Conditions. International Journal of Image Processing, 4 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • L. N. P. Boggavarapu
    • 1
  • R. S. Vaddi
    • 1
  • H. D. Vankayalapati
    • 2
  • K. R. Anne
    • 1
  1. 1.Department of Information TechnologyV R Siddhartha Engineering CollegeVijayawadaIndia
  2. 2.Department of Computer Science & EngineeringV R Siddhartha Engineering CollegeVijayawadaIndia

Personalised recommendations