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This paper proposes an automatic method to detect road traffic signs in natural scenes. There are three main stages in the proposed algorithm: (1) segmentation based on the brightness and color features to find the possible candidate road sign regions; (2) sign detection by using two shape classification criteria; and (3) recognition of the road sign by employing a fringe-adjusted joint transform correlation (FJTC) technique. The proposed framework provides a novel way to detect a road sign by integrating image features with the geometric shape information. Experimental results on real life images demonstrate that the proposed algorithm is invariant to translation, rotation, and scale.
Southeastcon, 2009. SOUTHEASTCON '09. IEEE
Date of Conference: 5-8 March 2009