Circular Traffic Signs Recognition Using The Number of Peaks Algorithm

International Journal of Image Processing

Khaled M. Almustafa¹ 

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关键词: Traffic Signs Recognition;    Pattern Recognition;    Image Processing;    Autonomous Cars.;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

Smart cars nowadays include embedded computers to guide the driver in his trip. An important application that should be added to any car is the detection and recognition of traffic signs. In this paper, we focus on the recognition of a wide set of circular traffic signs using the Number of Peaks Algorithm [1]. After detecting a traffic sign, the algorithm draws three horizontal lines and three vertical lines across the image. The number of peaks (crossing from a black pixel to a white pixel) is calculated for each of the six lines as the image is scanned from right to left (for horizontal lines) or top to bottom (for vertical lines). The resulting numbers of peaks are used by the decision-tree-like search algorithm to distinguish between 51 circular road signs with a mean detection time of 8 milliseconds, 100% detection rate and in a fairly noisy environment.

【 授权许可】

Unknown