By extracting the basic features of an object shape from a digitized Fourier transform image, one can calculate its scale factor and orientation angle. Because of the accuracy of the computed scale and orientation parameters, this formulation can be extended to object classification applications. The concept and system implementation of such a pattern recognition system based on a look-up table interpolation technique for arbitrary-shaped objects are discussed. Finally, the results of performance analysis are presented.
"Shape recognition in the Fourier domain", Proc. SPIE 1564, Optical Information Processing Systems and Architectures III, (1 November 1991); doi: 10.1117/12.49733; https://doi.org/10.1117/12.49733