Abstract
A three-dimensional (3D) pattern recognition technique using the concept of fringe-adjusted joint-transform correlation is proposed in this paper. The proposed technique yields better correlation discrimination ability compared with alternate 3D classical joint-transform correlation by producing sharper and stronger correlation peak intensity. Simulation results verify the performance of the proposed technique.
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