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JBE, vol. 23, no. 1, pp.93-103, January, 2018
Algorithm for Speed Sign Recognition Using Color Attributes and Selective Region of Interest
Ki Hun Park and Oh Seol Kwon
C.A E-mail: firstname.lastname@example.org
This paper presents a method for speed limit sign recognition in images. Conventional sign recognition methods decreases recognition accuracy because they are very sensitive and include repeated features. The proposed method emphasizes color attributes based on the weighted YUV color space. Moreover, the recognition accuracy can be improved by extracting the local region of interest (ROI) in the candidates. The proposed method uses the Haar features and the Adaboost classifier for recognition. Experimental results confirm that the proposed algorithm is superior to conventional algorithms under various speed signs and conditions.
Keyword: Speed sign recognition, color attributes
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