Real-Time Traffic Sign Detection and Recognition System Based on FriendlyARM Tiny4412 Board

This paper presents a design and implementation of the real-time traffic sign detection and recognition system based FriendlyARM Tiny4412 board. We develop an algorithm for detecting and recognizing the traffic signs in Vietnam with real-time processing capability and high accuracy. To achieve these objectives, we employ three main techniques consisting of traffic sign extraction based on chromatic color segmentation, shape matching, and support vector machine (SVM). Moreover, we apply multi-threading method for quad-core ARM Cortex-A9 processor on FriendlyARM board to enhance the real-time capability of the system. The experimental result shows that our system can detect and recognize the traffic signs with accuracy of 90.1% at 15 frames per second on FriendlyARM Tiny4412 board. The proposed system can be equipped on cars to support drivers tracking traffic signs.