A new neural network model is developed based on fractional Fourier transforms, which incorporate both the spatial and frequency characteristics. The standard Fourier transforms in the 4-f Vander Lugt correlator are substituted by Fourier transforms with fractional orders, the filter functions are adaptively trained by error back-propagation. The proposed neural network is applied to hand-written character recognition problems.
