Traffic indication symbols recognition with shape context
Kai Li, Weiyao Lan · 2011
A novel traffic indication symbol detection and recognition method is introduced in this paper. We firstly apply color detection and shape detection on the real-time image to locate and extract the symbol region. Then the traffic indication sign is matched and recognized by using shape context. Experimental result demonstrates the proposed algorithm has good performance on recognition and more robustness to the disturbances.