Real-time Korean traffic sign detection and recognition

Jihie Kim, Seung Gyu Kim, Kwangyong Lim, Yeongwoo Choi, Young Jung Uh, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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%).

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
DOIs
Publication statusPublished - 2013
Event7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013 - Kota Kinabalu, Malaysia
Duration: 2013 Jan 172013 Jan 19

Publication series

NameProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013

Other

Other7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
CountryMalaysia
CityKota Kinabalu
Period13/1/1713/1/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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