1. A method for recognizing road signs in image data, comprising: segmenting a road sign for a predefined first probability in the image data in a processor; identifying a text mapped in the image data after the segmenting using a text recognition method in the processor; determining a probability value for the text depicted on the road sign in the processor; selecting, in the processor, the road sign as a potential road sign in a first case that the probability value is smaller than or equal to a predefined threshold value; and applying, in the processor, a classifier to the image data for recognizing the road sign as an actual road sign in a second case that the probability value is greater than the predefined threshold value; wherein the probability value is based on a predefined desired match of an outer contour of the road sign that is mapped in the image data with a shape of a known road sign.