Use a learning method like back propagation neural network svm and kernels to study the relationship between real axis samples and complex numbers. Since the relation between real and imaginary axis is deterministic the neural network is expected to reach the same weight matrices at the end of training.
@artical{v622017ijsea06021005,
Title = "Image Forgery Detection Based on Shape of Eye Ball",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "6",
Issue ="2",
Pages ="58 - 58",
Year = "2017",
Authors ="Vinoth S, "}
10.7753/IJSEA0602.1005
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