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

Jung, Min Chul (Dept. of Electronic Engineering, Sangmyung University)
Publication Information
Journal of the Semiconductor & Display Technology / v.21, no.1, 2022 , pp. 22-26 More about this Journal
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
Road surface marking recognition; Connected component analysis; Size normalization; Template matching;
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