Title :
Research on Recognition Methods for Traffic Signs
Author :
Zhenghe, Song ; Bo, Zhao ; Zhongxiang, Zhu ; Meng, Wang ; Enrong, Mao
Author_Institution :
China Agric. Univ., Beijing, China
Abstract :
In order to insure safety of driving vehicle in the driver assistance system and effective navigation in the automatic driving system, a new recognition method based on the neural network and the invariant moments for traffic signs was proposed in this paper. Firstly, the area of the traffic sign was located from the complicated image background. Secondly, the features of each traffic sign were obtained by Hu invariant moments. Finally, the traffic signs were recognized by the BP neural network. Experimental results proved that the recognition method can be used for fast and efficient recognition of the traffic signs with high accuracy. This research can provide technological supports to the autonomous vehicles and the vehicle safety driving assistance.
Keywords :
automobiles; backpropagation; driver information systems; image recognition; method of moments; neural nets; road safety; road traffic; BP neural network; Hu invariant moments; automatic driving system; automobile; backpropagation; complicated image background; driver assistance system; recognition methods; traffic signs; vehicle safety; Color; Graphics; Image recognition; Intelligent transportation systems; Navigation; Neural networks; Telecommunication traffic; Traffic control; Vehicle driving; Vehicle safety;
Conference_Titel :
Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3431-2
DOI :
10.1109/FGCN.2008.16
