文章基本信息

标题：Research on Traffic Sign Classification Algorithm Based on SVM
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作者：Ye Sun
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：5
页码：273-282
DOI：10.14257/ijhit.2015.8.5.30
出版社：SERSC
摘要：A coarse-to-fine traffic sign classification algorithm is proposed. The task for traffic sign classification is to analyze the detected regions and determine the class of the sign in the region. By analyzing existing traffic sign classification algorithms, the major problem affecting the classification accuracy is pointed out. Based on this analysis, a coarse-to- fine classification algorithm is proposed. The algorithm first classifies traffic signs into several super classes, then performs class-specific shape adjustment, and finally gets the fine classification result. Experimental results show that the proposed algorithm outperforms other existing algorithms in classification accuracy, and is robust to many adverse situations.
关键词：Traffic Sign Recognition; Image Restoration; Object Detection; Image ; Classification; Support Vector Machine