Fourier-Bessel Transform for Face Recognition A simple and effective code for Face Recognition Based on Polar Frequency Features.
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Algorithm recognition face recognition matlab face based login Fourier-Bessel Transform Polar Frequency

Fourier-Bessel Transform for Face Recognition Description

A novel biologically motivated face recognition algorithm based on polar frequency is presented. Polar frequency descriptors are extracted from face images by Fourier-Bessel transform (FBT). Most of the current face recognition algorithms are based on feature extraction from a Cartesian perspective, typical to most analog and digital imaging systems. The primate visual system, on the other hand, is known to process visual stimuli logarithmically. An alternative representation of an image in the polar frequency domain is the two-dimensional Fourier-Bessel Transform. This transform found several applications in analyzing patterns in a circular domain, but was seldom exploited for image recognition. These results indicate the high informative value of the polar frequency content of face images in relation to recognition and verification tasks, and that the Cartesian frequency content can complement information about the subjects’ identity, but possibly only when the images are not pre-normalized. Give Fourier-Bessel Transform for Face Recognition a try to see what it's really capable of!

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