A modified algorithm for parameter identification of moving blur images is proposed based on the spectrum analysis in order to improve detecting quality of the direction and pixel for moving objects in blurred image. The relationships among dark fringe width, image size, inclination angle and kinematic scale, kinematic pixel are derived. The twice Fourier transform is applied to meet refinement of bright fringe. And then the relationship between inclination angle of fringe and moving angle is analyzed. A new algorithm for eliminating the cross bright line is proposed by analyzing its generation reasons and position. Radon transform is applied to the processed image, and the moving direction and the moving pixel are obtained according to the transform results. Simulation results show that the proposed algorithm can detect the moving direction and pixel of different sizes of blur images with a detection error under 0.5° and two pixels.