License Plate Segmentation for Intelligent Transportation Systems

  • Muhammed Cinsdikici
  • Turhan Tunalı
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2869)


A license plate segmentation system is designed and developed. The system has preprocessing, approximate region finding, plate extraction and character segmentation modules. For each module, alternative available methods are examined and proper sequence of operations is developed. In character segmentation module, a novel method is devised. Finally, overall performance of the system is reported.


Information System Operating System Pattern Recognition Communication Network Computer 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]
    Oivind, D.T., Anil, K.J., Torfinn, T.: Feature Extraction Methods for Character Recognition -A Survey. Pattern Recognition 29(4), 641–662 (1996)CrossRefGoogle Scholar
  2. [2]
    Takashi, N., Tsukada, T., Yamada, K., Kozuka, K., Yamamato, S.: Robust License-Plate Recognition Method for Passing Vehicles Under Outside Environment. IEEE Transactions on Vehicular Technology 49(6), 2309–2319 (2000)CrossRefGoogle Scholar
  3. [3]
    Barroso, J., Rafeal, A.: Number Plate Reading Using Computer Vision. In: Proceedings of the IEEE International Symposium on Industrial Electronics ISIE 1997, University of Minho, Portugal Mho (1997)Google Scholar
  4. [4]
    Min, Y.J., Choi, U.J.: Development of License Plate Extraction Algorithm Using Prior Knowledge. In: Proceedings of the 5th World Congress on Intelligent Transport Systems, Seul, Korea (October 1998)Google Scholar
  5. [5]
    Draghici, S.: A Neural Network Based Artificial Vision System for License Plate Recognition. Journal of Neural Systems 8(1), 113–126 (1997)CrossRefGoogle Scholar
  6. [6]
    Aksoy, M.S., Çağil, G., Türker, A.K.: Number Plate Recognition Using Inductive Learning. Robotics and Autonomous Systems 33(2), 149–153 (2000)CrossRefGoogle Scholar
  7. [7]
    Coetzi, C., Botha, C., Weber, D.: PC Based Number Plate Recognition System. IEEE, Los Alamitos,,
  8. [8]
    George, W.: Digital Image Warping-Image Manipulation. IEEE Computer Society Press, Los Alamitos (1990)Google Scholar
  9. [9]
    Li, H., Lee, K.: Minimum Cross Entropy Thresholding. Pattern Recognition 26(4) (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Muhammed Cinsdikici
    • 1
  • Turhan Tunalı
    • 1
  1. 1.International Computer InstituteEge UniversityIzmirTurkey

Personalised recommendations