Multicriteria optimization approach for optical pattern recognition with nonoverlapping target and scene noise

The design of filters for pattern recognition that have optimal trade-offs among the criteria of noise robustness, sharpness of the correlation peak, and Horner efficiency when input scene noise is spatially disjoint (nonoverlapping) with the target are presented. Computer simulation is made to illustrate filter performances for optical pattern recognition.