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Research on Recognition Method for Traffic Signs

文献类型： 外文期刊

作者： Song Zhenghe 1 ; Zhao Bo 2 ; Zhu Zhongxiang 1 ; Wang Meng 1 ; Mao Enrong 1 ;

作者机构： 1.China Agr Univ, Beijing 100083, Peoples R China

2.Chinese Acad Agr Mech Sci, Beijing 100083, Peoples R China

期刊名称：FGCN: PROCEEDINGS OF THE 2008 SECOND INTERNATIONAL CONFERENCE ON FUTURE GENERATION COMMUNICATION AND NETWORKING, VOLS 1 AND 2

ISSN：

年卷期： 2008 年

页码：

收录情况： SCI

摘要： 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.

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