Abstract
A comparison between computed and experimental results of implementing several procedures for optical pattern recognition in defocused images using correlation filters is presented. The study is developed for the classical matched filter (CMF), the phase-only filter (POF) and the inverse filter (IF). Several filter modifications have been incorporated to CMFs and IFs in order to reduce their dynamic range. The discrimination capability of the different filters is analyzed as a function of the defocusing of the input scene.
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