Recognition of Road Surface Marks and Numbers Using Connected Component Analysis and Size Normalization

연결 성분 분석과 크기 정규화를 이용한 도로 노면 표시와 숫자 인식

  • Jung, Min Chul (Dept. of Electronic Engineering, Sangmyung University)
  • 정민철 (상명대학교 전자공학과)
  • Received : 2022.01.26
  • Accepted : 2022.02.28
  • Published : 2022.03.31

Abstract

This paper proposes a new method for the recognition of road surface marks and numbers. The proposed method designates a region of interest on the road surface without first detecting a lane. The road surface markings are extracted by location and size using a connection component analysis. Distortion due to the perspective effect is minimized by normalizing the size of the road markings. The road surface marking of the connected component is recognized by matching it with the stored road marking templates. The proposed method is implemented using C language in Raspberry Pi 4 system with a camera module for a real-time image processing. The system was fixedly installed in a moving vehicle, and it recorded a video like a vehicle black box. Each frame of the recorded video was extracted, and then the proposed method was tested. The results show that the proposed method is successful for the recognition of road surface marks and numbers.

Keywords

Acknowledgement

본 연구는 2020년도 상명대학교 교내연구비를 지원받아 수행하였습니다.

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