@inproceedings{5d35b80f030a4de79e590d965c37b47e,
title = "Real-time Korean traffic sign detection and recognition",
abstract = "In this paper, we propose a real-time Korean traffic sign detection and recognition method based on color properties and shape geometries of images. The proposed method supports detecting and recognizing various shapes of traffic signs in realtime. Our method consists of four stages: 1) color based image segmentation; 2) region of interest (ROI) detection; 3) shape classification; and 4) numeral recognition. The proposed method can classify even the signs that are partially occluded. In addition, we improve efficiency of shape classification by using simple shape geometry measurements. Our experiment shows that our approach can provide high classification accuracies for octagonal shape signs (92%) and speed-limit signs (94.5%).",
keywords = "Color segmentation, Road sign, Shape classification, Sign character recognition, Sign symbol recognition, Traffic sign",
author = "Jihie Kim and Kim, {Seung Gyu} and Kwangyong Lim and Yeongwoo Choi and Uh, {Young Jung} and Hyeran Byun",
year = "2013",
doi = "10.1145/2448556.2448575",
language = "English",
isbn = "9781450319584",
series = "Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013",
booktitle = "Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013",
note = "7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013 ; Conference date: 17-01-2013 Through 19-01-2013",
}