This paper presents proposes a corner detector method based on anisotropic Gaussian directional derivative filters to extract the crude outline of image. Firstly, multidirection anisotropic Gaussian directional derivative filters are used to extract the variation of gray change information, and then the crude outline is extracted by using the gradient correlation of pixels. Finally, we construct the autocorrelation matrix on the basis of the extracted crude outline and normalize eigenvalues of the autocorrelation matrix, then the product of normalized eigenvalues is served as the measure of corner extracting. Experiments show that the algorithm is noiserobust and locationaccurate.