Title :
Robust road sign recognition using standard deviation
Author :
Zin, Thi Thi ; Hama, Hiromitsu
Author_Institution :
Graduate Sch. of Eng., Osaka City Univ., Japan
Abstract :
This paper proposes the recognition of road signs under various illumination conditions using standard deviation. The proposed road sign recognition system uses both of shape and color information. The former one is used in template matching with standard deviation and the latter one in modified Mahalanobis distance. This paper focuses on circular road signs and achieves almost perfect performances under various conditions such as daytime, evening-time and nighttime. Moreover, the proposed method may be applicable to recognize of any shape of road signs. The effectiveness of the proposed method has been demonstrated through experiments. According to our experimental results, the recognition rate is 100% for 200 images taken under various illumination conditions.
Keywords :
driver information systems; image colour analysis; image matching; image segmentation; road traffic; statistical analysis; circular road signs; driver information systems; illumination conditions; image colour analysis; image segmentation; modified Mahalanobis distance; robust road sign recognition system; shape recognition; standard deviation; template matching; Cities and towns; Data mining; Image recognition; Image segmentation; Lighting; Matched filters; Matching pursuit algorithms; Roads; Robustness; Shape;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398938