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Vol. 165, Issue 2, February 2014, pp. 112-118




An Efficient Framework for Road Sign Detection and Recognition

Duanling Li, Qingxue Xu

Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Haidian District, Beijing, 100876, China
Tel.: 18611769876, fax: 8610-62282629

E-mail: liduanling@163.com


Received: 11 November 2013 /Accepted: 28 January 2014 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems


Abstract: Road sign detection and recognition is a significant and challenging issue not only for assisting drivers but also navigating mobile robots. In this paper, we propose a novel and fast approach for the automatic detection and recognition of road signs. First, we use Hue Saturation Intensity (HSI) color space to segment the road signs color. And then we locate the road signs based on the geometry symmetry, as almost all the shapes of road sign shapes are symmetrical such circle, rectangle, triangle and octagon. The proposed shape feature is further applied to classify the shape initially. Finally, the road signs are exactly recognized by support vector machine (SVM) classifiers. We test our proposed method on real road images and the experimental results show that it can detect and recognize road signs rapidly and accurately.


Keywords: Road sign recognition, Shape symmetry, Shape detection.


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