关键词: 交通标志识别, 图像检测, 支持向量机

Abstract: Traffic sign detection can be used in intelligent transportation system to improve the safety.Traffic signs have special shapes and colors，but most detecting methods ignores color information or just segmentated with const threshold values，which resulted in loss of adaptability and robustness.This paper presents an SVM based method using color and shape information for detection of traffic signs．This method is mainly carried are in two steps．First，it segments the image using SVM，then detects the traffic sign by SVM and the shape information．The methods by detecting blue designation traffic sign are tested.The experiments show the good robustness and high detection accuracy.

Key words: Traffic Sign Recognition（TSR）, image detection, Support Vector Machine（SVM）