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An Enhanced Two-Stage Vehicle License Plate Detection Scheme Using Object Segmentation for Declined License Plate Detections

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(9), pp.49-55
  • DOI : 10.9708/jksci.2021.26.09.049
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 13, 2021
  • Accepted : September 13, 2021
  • Published : September 30, 2021

LEE SANG WON 1 CHOI BUM SUK 2 YOO SUNG KIM 1

1인하대학교
2한국전자통신연구원

Accredited

ABSTRACT

In this paper, an enhanced 2-stage vehicle license plate detection scheme using object segmentation is proposed to detect accurately the rotated license plates due to the inclined photographing angles in real-road situations. With the previous 3-stage vehicle license plate detection pipeline model, the detection accuracy is likely decreased as the license plates are declined. To resolve this problem, we propose an enhanced 2-stage model by replacing the frontal two processing stages which are for detecting vehicle area and vehicle license plate respectively in only rectangular shapes in the previous 3-stage model with one step to detect vehicle license plate in arbitrarily shapes using object segmentation. According to the comparison results in terms of the detection accuracy of the proposed 2-stage scheme and the previous 3-stage pipeline model against the rotated license plates, the accuracy of the proposed 2-stage scheme is improved by up to about 20% even though the detection process is simplified.

Citation status

* References for papers published after 2023 are currently being built.

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