Additive Noise Robustness of Phase-Input Joint Transform Correlators in Face Recognition
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Performances for Face Recognition with Phase Input Joint Transform Correlators to Noise and Image Resolution
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 premodulat...
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تاریخ انتشار 2018