Target disc images are widely used in camera calibration and target location for unmanned (UAV) scout task, so a method of automatically extracting feature point coordinates is proposed for the color on the two- dimensional (2D) center of the disc to solve the problems of present corner detection algorithms. The operation of color separation for the red and blue discs is completed with the method of hue- saturation- value (HSV) volor space in order to get a gray image which has obvious symmetry and strong contrast. According to the corner points of the candidate red and blue pixels in the neighborhood with the distance less than a threshold number, the exact value of the corner is determined, and the response value of extracted large corner point is applied as a candidate by using a new type of symmetric operator. Experiment results of Matlab simulation and hardware implementation based on the field programmable gate array (FPGA) platform show that the proposed method is easy to implement in hardware technology, real- time and has good anti- noise ability. Also it has a good robustness to image rotation, stretching and scale transformation.