Performances for Face Recognition with Phase Input Joint Transform Correlators to Noise and Image Resolution
نویسنده
چکیده
Real world face recognition implies that the scene images are embedded in noise and mix with additive noise. Former works prove that phase input joint transform correlators have better detection efficiency than the amplitude ones. One of these models, the preprocessed phase input joint transform correlator, has the best detection efficiency and its setup parameters are: the amplitude premodulation domain, dfPRE , and the phase modulation domain, dfPSLM . Computer simulations have been done on all combinations of eight amplitude premodulation domains and six phase modulation domains for seven input images with two different image resolutions, two kinds of embedding noise and one uniform additive noise (50%). These simulations were done to find the combination of the amplitude premodulation domain and phase modulation domain that has the best detection efficiency for all image resolution and noises.
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