Equal correlation peak optimization of the filter-feature-based synthetic discriminant reference image

A modified equal correlation peak (ECP) optimization is proposed and introduced into the filter-feature-based joint transform correlator (FFB JTC) used for distortion-invariant pattern recognition. Instead of one fixed and arbitrarily chosen point in the classical ECP optimization, the maximum point in the correlation output plane is selected in our method. The modified ECP optimization is quite efficient when involving filter modulation. When compared with other ECP optimization methods related to filter-modulation, our optimization method is linear and can easily obtain an exact solution. Simulation results show that after ECP optimization the stability of the correlation output of the FFB JTC may be greatly improved.