Object Recognition in Presence of Blur from Fourier Transform Spectrum

A new technique for recognition of objects in presence of blur is presented where the object features are chosen from the Fourier power spectrum on the locus of equal intensity points around the zero order spectrum. Here the property of 2D Fourier slice theorem and Fraunhofer distribution for 1D aperture is used to show that the spread of Fourier transform spectrum along any direction is related to the spread of the object along that direction. Computation is done on different intensity profiles to show the validity of the technique.