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Robust Scheme of Segmenting Characters of License Plate on Irregular Illumination Condition

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(11), pp.61-71
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim, Byung-Hyun 1 Youngjun Han 1 Hernsoo Hahn 1

1숭실대학교

Accredited

ABSTRACT

Vehicle license plate is the only way to check the registrated information of a vehicle. Many works have been devoted to the vision system of recognizing the license plate, which has been widely used to control an illegal parking. However, it is difficult to correctly segment characters on the license plate since an illumination is affected by a weather change and a neighboring obstacles. This paper proposes a robust method of segmenting the character of the license plate on irregular illumination condition. The proposed method enhance the contrast of license plate images using the Chi-Square probability density function. For segmenting characters on the license plate, binary images with the high quality are gained by applying the adaptive threshold. Preprocessing and labeling algorithm are used to eliminate noises existing during the whole segmentation process. Finally, profiling method is applied to segment characters on license plate from binary images.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.