A Real-time Traffic Sign Recognition System Based on Local Structure Features
نویسندگان
چکیده
We present an accurate and efficient system for traffic sign recognition in a real-world driving scene video. The proposed system uses local structure features to achieve high, illumination-invariant accuracy in detection and recognition. We exploit a property of traffic signs, namely, shared boundary shapes, to enhance the speed and accuracy of the detection step. A multi-level SVM structure is employed for stable recognition. The proposed method can process real-world road driving scene video in real time with high accuracy, over 98%, in both detection and recognition Keywords—Traffic Sign Detection, Traffic Sign Recognition, 8bit Modified Census Transform, Illumination invariant, Multi-level SVM
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