This paper introduces a method that is able to convert the symbols of vectorized maps into polygon attributes. It reduces the required storage space of the database by removing the corresponding polygons from the vectorized data model. This procedure is presented with optimized, linear runtime pattern matching on the raster image source of the map, where the symbols are handled as special textures. This method will be improved by using a raw vector model and the kernel symbols. The kernel of the symbol is the smallest part of the image which is tiling the image of the symbol. The optimization of the pattern matching is based on the edge filtered map and symbol images, where the points of interest are determined by thresholding the filtered images. These points are evaluated at pattern matching as possible symbol locations. The efficient method provides a rotation independent symbol recognition using the edge filtered map and symbol images, where edges are converted to vectors, then the angle of the possible rotation is calculated from the corresponding vector datas