Multimedia based Real Time Traffic Sign Recognition System and its Analysis

Background/Objectives: Traffic sign recognition system is a multimedia based real time which guides and assist the driver visually with audio to decrease the road accidents. Methods/Statistical analysis: Hundreds of small pictures are registered by the regional transportation authority of every country which guides the drivers as well as road users by providing information related to current status of the road. All most in all countries red and blue color with a particular shape like triangle, circle and rectangle are used to prepare small pictorial signs. In proposed research, features of color and shape are used to detect, track and recognize traffic signs. Templates are prepared using canny images and centroid of captured sign from the video. Such templates are matched with the knowledgebase by translating images according to the centroid point of a shape. Findings: Proposed research paper introduces the traffic sign recognition system with multiple output formats like video and audio with the textual information of the tracked signs. Analysis of the developed system is focuses in this paper. Each prohibitory, obligation, cautionary and informatory signs are tested to check the robustness of the system during number of experiments. According to the analysis report more the 100 signs are tested and the performance of the proposed research is nearly 93%. Knowledgebase has been prepared for all traffic signs. Application/ Improvements: The proposed system produces more than 93% which can be improved to get exactly 100% accuracy level.