Advertisement

Matrics, a Car License Plate Recognition System

  • Andrés Marzal
  • Juan Miguel Vilar
  • David Llorens
  • Vicente Palazón
  • Javier Martín
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4477)

Abstract

Matrics is a system for recognition of car license plates. It works on standard PC equipment with low-priced capture devices and achieves real-time performance (10 frames per second) with state of the art accuracy: the character error rate is below 1% and the plate error rate is below 3%. The recognition process is divided in two phases: plate localization and plate decoding. The system finds the plate analyzing the connected components of the image after binarization. The decoding algorithm is a Two Level process which uses fast template-based classification techniques in its first stage and optimal segmentation in the second stage. On the whole, the system represents a significant improvement over a previous version which was based on HMM.

Keywords

License Plate White Space Finite State Automaton Optimal Segmentation Plate Localization 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Albiol, A., Mossi, J.M., Albiol, A., Naranjo, V.: Automatic license plate reading using mathematical morphology. In: Proceedings of the The 4th IASTED International Conference on Visualisation, Imaging and Image Processing, Marbella, Spain (September 2004)Google Scholar
  2. 2.
    Chang, S.-L., Chen, L.-S., Chung, Y.-C., Chen, S.-W.: Automatic license plate recognition. IEEE Transactions on Intelligent Transportation Systems 5(1), 42–53 (2004)CrossRefGoogle Scholar
  3. 3.
    Cormen, T.H.: Introduction to Algorithms. MIT Press, Cambridge (2001)MATHGoogle Scholar
  4. 4.
    Llorens, D., Marzal, A., Palazón, V., Vilar, J.M.: Car license plates extraction and recognition based on connected components analysis and HMM decoding. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3522, pp. 571–578. Springer, Heidelberg (2005)Google Scholar
  5. 5.
    Martín, F., García, M., Alba, J.L.: New methods for automatic reading of vlp’s (vehicle license plates). In: SSPRA (2004)Google Scholar
  6. 6.
    Shapiro, V., Gluhchev, G., Dimov, D.: Towards a multinational car license plate recognition system. Machine Vision and Applications 17, 173–183 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Andrés Marzal
    • 1
  • Juan Miguel Vilar
    • 1
  • David Llorens
    • 1
  • Vicente Palazón
    • 1
  • Javier Martín
    • 1
  1. 1.Departament de Llenguatges i Sistemes Informàtics, Universitat Jaume I, CastellóSpain

Personalised recommendations