Nonlinear joint-transform correlation: an optimal solution for adaptive image discrimination and input noise robustness

Abstract
We develop a processor for pattern recognition that is optimum in terms of discrimination and is tolerant to variations of the object to be recognized. This optimum processor is found to be adaptive nonlinear joint-transform correlator.