Nonzero-order fringe-adjusted joint transform correlation using binary random phase mask

Abstract

In this paper, we proposed a new architecture, called nonzero-order fringe-adjusted joint transform correlator (FJTC) using a binary random phase mask, for real time pattern recognition applications. The binary random phase mask encodes the reference image by two equal probability phases before it is introduced in the joint input image. The joint power spectrum is then multiplied by the same phase mask to remove the zero-order term and false alarms that may be generated in the correlation plane due to the presence of multiple identical target or non-target objects in the input scene. The criteria used for measuring the performance of nonzero-order fringe-adjusted JTC include correlation peak intensity, peak-to-correlation energy, and peak-to-sidelobe ratio. Detailed analysis for the proposed nonzero-order FJTC using binary random phase mask is presented. Simulation results verify the effectiveness of the proposed technique.