Title :
Efficient recognition of speed limit signs
Author :
Torresen, Jim ; Bakke, Jorgen W. ; Sekanina, Lukas
Author_Institution :
Dept. of Inf., Oslo Univ., Norway
Abstract :
An automatic traffic sign detection system is important in a driver assistance system. An approach for detecting Norwegian speed limit signs is proposed. It consists of three major steps: color-based filtering, locating sign(s) in an image and detection of numbers on the sign. About 91% correct recognition is achieved for a selection of 198 images.
Keywords :
character recognition; filtering theory; image colour analysis; image recognition; road traffic; Norwegian speed limit signs detection; automatic traffic sign detection system; color based filtering; driver assistance system; image recognition; number detection; sign location; speed limit sign recognition; Automatic control; Filtering; Filters; Image recognition; Image segmentation; Mobile robots; Remotely operated vehicles; Road vehicles; Shape; Vehicle safety;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398978
