Traffic Sign Recognition-based Vehicle Speed Regulation

This paper purposed a Traffic Sign Recognition (TSR) system which can automatically detect and classified the traffic signs in traffic scene images acquired from a moving car. First it uses color based segmentation and then further refines the segments using two shape detection based techniques. A color description technique is used to extract the sign information from the segmented part which then finally classified and recognized as a traffic sign, using a trained feed forward neural network. The result of TSR research is also used as the subsystem of IAV (Intelligent Automated Vehicle) where it provide the facility of automated speed regulation by classifying the speed signs coming in the road way and passing the information to Microcontroller.