<![CDATA[Traffic Signs Recognition System (SPRLL) is needed to map and repair road signs, driver assistance systems, and autonomous cars. As one of the important parts of SPRLL, the introduction of traffic signs has some difficulties in dealing with real traffic conditions due to changes in illumination, partial occlusion, too much noise and a small sign size compared to other objects. The program flow from the detection system usually uses known features, extracts from the region that is promoted by the program, and filters negative regions. Derived from the above requirements, we need a system that can be used to detect traffic signs that exist in an image. This traffic sign detection system is applied by the writer to the German Traffic Sign Detection Benchmark GTSDB dataset. Some images taken in poor conditions such as foggy can reduce the accuracy of the detection system. In evaluating the system, an evaluation method is used to determine the accuracy and accuracy of the system. A value of 0.75 is obtained for accuracy which states that the system is accurate enough to detect traffic signs on the dataset.]]>
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