31 March 2000 Laboratory results for the optimized Fisher ratio
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We have developed theory for computing filters with as large as Fisher ratio as possible. That theory analytically accommodates a number of real-world conditions, including noise or clutter in the input scene that is known to its power spectral density, additive noise in the detection process, and constrained filter values. The theory is adaptable to single-class pattern recognition. Using laboratory results we demonstrate Fisher-optimized filters that have improvements over some characteristics of our previous optimization of the Rayleigh quotient. To optimize a filter for the Fisher ratio is not free of side effects. We show examples of the penalty paid as one asks a filter to recognize more and more different objects.
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John Michael Rollins, John Michael Rollins, Richard D. Juday, Richard D. Juday, Stanley E. Monroe, Stanley E. Monroe, } "Laboratory results for the optimized Fisher ratio", Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381594; https://doi.org/10.1117/12.381594

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