The principle of correlation recognition of target is analyzed. To solve the distortion problem in direction and scale, a distortion invariant model is designed and improved by means of synthetic discriminate function (SDF), by introducing the recognition SDF into training samples. The recognition capability could be enhanced by changing the superposition coefficient to insure that the correlation peak at the origin point is higher while the correlation peaks in different samples maintain alike.