  This paper represents an text extraction method from Google maps, GIS
maps/images. Due to an unsupervised approach there is no requirement of any
prior knowledge or training set about the textual and non-textual parts. Fuzzy
CMeans clustering technique is used for image segmentation and Prewitt method
is used to detect the edges. Connected component analysis and gridding
technique enhance the correctness of the results. The proposed method reaches
98.5% accuracy level on the basis of experimental data sets.
