Abstract
It is well-known that the Hilbert transform (HLT) is useful for generating the analytic signal, and saving the bandwidth required in communication. However, it is known by less people that the HLT is used for edge detection. In this paper, we introduce the radiant Hilbert transform (RHLT), and illustrate how to use it for edge detection with advantage noise immunity, obtaining this form the image squeleton fingerprint. The implemented system the images are entered into a Digital Correlator that uses the Fourier transform to change the space of representation, facilitating, the correlation operation and authenticate the user stored in the data base.
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