본문 바로가기
  • Home

Day and night license plate detection using tail-light color and image features of license plate in driving road images

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2015, 20(7), pp.25-32
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김록영 1 YeongWoo Choi 1

1숙명여자대학교

Accredited

ABSTRACT

In this paper, we propose a license plate detection method of running cars in various road images. The proposed method first classifies the road image into day and night images to improve detection accuracy, and then the tail-light regions are detected by finding red color areas in RGB color space. The candidate regions of the license plate areas are detected by using symmetrical property, size, width and variance of the tail-light regions, and to find the license plate areas of the various sizes the morphological operations with adaptive size structuring elements are applied. Finally, the plate area is verified and confirmed with the geometrical and image features of the license plate areas. The proposed method was tested with the various road images and the detection rates (precisions) of 84.2% of day images and 87.4% of night images were achieved.

Citation status

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