Traffic Sign Detection and Recognition

• Main Authors: Tsung-Jen Wang, 王宗任
• Other Authors: 洪文斌
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/14675198330887014049

碩士 === 淡江大學 === 資訊工程學系碩士班 === 97 === In this paper, we use color and shape to detect and classify traffic signs. Then, the message on the traffic sign is recognized for driver. The method consists of two phases: traffic sign detection and recognition. In the detection stage, we use the distribution of traffic sign on HSV color model to segment the regions of traffic sign, and then use connected component labeling and edge detection to find positions of traffic signs. In the recognition stage, the detected traffic signs are normalized and classified by shape detection. Finally, we input the result to template match system, so information on traffic signs is identified. Our system uses simple algorithm to achieve high detection rate. The format of input image is 640×480 true color bitmap. The average execution time for each image is 671.9ms, the detection rate is 95% and the recognition rate is 81%.