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Vehicle License Plate Segmentation in Natural Images

  • Javier Cano
  • Juan-Carlos Pérez-Cortés
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2652)

Abstract

A robust method for plate segmentation in a License Plate Recognition (LPR) system is presented, designed to work in a wide range of acquisition conditions, including unrestricted scene environments, light, perspective and camera-to-car distance. Although this novel text-region segmentation technique has been applied to a very specific problem, it is extensible to more general contexts, like difficult text segmentation tasks dealing with natural images. Extensive experimentation has been performed in order to estimate the best parameters for the task at hand, and the results obtained are presented.

Keywords

Natural Image License Plate Text Region Acquisition Condition Text Segmentation 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Javier Cano
    • 1
  • Juan-Carlos Pérez-Cortés
    • 1
  1. 1.Instituto Tecnológico de InformáticaUniversidad Politécnica de ValenciaValenciaSpain

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