Automatic detection and recognition of traffic signs have many applications. However, some problems can affect the accuracy of the existing algorithms, such as changes in environmental light conditions, shadows, the presence of objects of the same colour, significant changes in scale and rotation, as well as obstacles in front of the traffic signs. To overcome these difficulties, a reference image database is usually used that includes different modes of appearing the traffic signs in the images. In order to overcome the effects of scale and rotation, in this paper a new method is presented in which only one reference image is needed for each sign to recognise the traffic sign in an image. In the proposed method, imaging is done in stereo. Using the captured image pair, a virtual image is generated which is then used to recognise the sign. As a result, the recognition is carried out with a minimum number of reference images. Experiments show that the proposed algorithm significantly improves recognition results. The traffic signs are recognised with 93.1% accuracy that enjoys a 4.9% improvement over traditional methods.

自动检测和识别交通标志具有许多应用。但是，某些问题可能会影响现有算法的准确性，例如环境光线条件的变化，阴影，相同颜色物体的存在，比例尺和旋转度的显着变化以及交通标志前方的障碍物。为了克服这些困难，通常使用参考图像数据库，其包括在图像中出现交通标志的不同模式。为了克服缩放和旋转的影响，本文提出了一种新方法，其中每个标志仅需要一个参考图像即可识别图像中的交通标志。在提出的方法中，成像是在立体声中完成的。使用捕获的图像对，生成虚拟图像，然后将其用于识别符号。结果，利用最少数量的参考图像进行识别。实验表明，该算法显着提高了识别效果。交通标志的识别率为93.1％，比传统方法提高了4.9％。