Road sign and their uses in Wandegeya.

Abstract

This paper presents an automatic road sign detection and recognition system that is based on a computational model of human visual recognition processing . Road signs are typically placed either by the roadside or above roads. Road signs are used by road users along Wandegeya to ease the navigation of passengers and the other road users like drivers and motorists. They provide important information for guiding, warning, or regulating the behaviors of drivers in order to make driving safer and easier. The proposed recognition system is motivated by human recognition processing. The system consists of three major components; sensory, perpetual, and conceptual analyzers. The sensory analyzers extract the spatial and temporal information of interest from the video sequences. The extracted information then serves as the input stimuli to a spatial temporal attentional neural network in the perceptual analyzer. If stimulation continues, the focus of attention will be established in the neural network. Potential features of road signs are then extracted from the image areas corresponding to the focus of attention. The extracted features are net fed into the conceptual analyzer. The conceptual analyzer is composed of two modules.