SPECIALIZED COMPUTER RECOGNITION SYSTEM OF ROAD SIGNS IN REAL TIME FOR VEHICLES
This paper presents the architecture and hardware developed computer recognition of traffic signs in real-time. Analyzed and proved methods of processing and pattern recognition, have been used in the developed system. This paper analyzes the existing similar systems and their shortcomings, which are in open sources information. As a result, proposed own architecture of computer recognition of road signs and the choice of hardware for its implementation. Based on the study selected the most effective methods for processing and recognition of road signs. An improved method of adaptive colour quantization is based on the HSV-model colour reproduction. This method can reduce the noise level in the input image caused by various factors such as glare from the sun or other light, shadows, lighting different parts of the image, and others. The result is increased efficiency recognized road signs. Developed computer system recognition of traffic signs has been experimentally tested on a video stream captured by the camera real way out of the cab car and recognition of road signs was 90% at day time period and 80% during the night time period.