Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (4): 423-426.doi: 10.3969/j.issn.0255-8297.2014.04.013

• Signal and Information Processing • Previous Articles     Next Articles

Detection and Recognition of Triangular Traffic Signs in Natural Scenes

JIA Yong-hong1,2, HU Zhi-xiong1, ZHOU Ming-ting1, JI Wei-jun1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,
    Wuhan University, Wuhan 430079, China
  • Received:2014-04-21 Revised:2014-06-12 Online:2014-07-31 Published:2014-06-12

Abstract:  An approach is proposed to detect and recognize triangular traffic signs in natural scenes according to color and geometric features of the signs. The sign is first roughly extracted based on color segmentation.A straight line fitting method is used to detect the three sides of the triangular signs to obtain the complete triangular sign. A partitioning feature method is used to obtain feature vectors from all reference triangular traffic signs as well as the detected ones, then the detected triangular traffic sign is recognized by feature vector matching. Experimental results show that the proposed method is effective for recognizing triangular traffic signs in natural scenes.

Key words:  traffic sign, color segmentation, contour extraction, partitioning, recognition

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