Korean text regions are extracted from scenery images by using two kinds of features, contour and color. At first, a contour image is obtained by using Canny Edge Detector. Candidate of character regions are estimated by several conditions related to edges. Furthermore candidate of character regions are obtained by doing clustering the image in RGB color space. Finally, Korean text regions are obtained from each cluster image by using relative position of the regions inside each cluster image.