Traffic Sign Recognition for Intelligent Vehicle/Driver Assistance System Using Neural Network on OpenCV
Product Description
Traffic Sign Recognition for Intelligent Vehicle/Driver Assistance System Using Neural Network on OpenCV
Abstract— Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety and comfort. Automatic recognition of traffic signs is also important for automated intelligent driving vehicle or driver assistance systems. A study to recognize traffic sign patterns using Neural Networks technique. The images are pre-processed with several image processing techniques, such as, threshold techniques, Gaussian filter, Canny edge detection, Contour and Fit Ellipse.
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