  We present a novel local-based face verification system whose components are
analogous to those of biological systems. In the proposed system, after global
registration and normalization, three eye regions are converted from the
spatial to polar frequency domain by a Fourier-Bessel Transform. The resulting
representations are embedded in a dissimilarity space, where each image is
represented by its distance to all the other images. In this dissimilarity
space a Pseudo-Fisher discriminator is built. ROC and equal error rate
verification test results on the FERET database showed that the system
performed at least as state-of-the-art methods and better than a system based
on polar Fourier features. The local-based system is especially robust to
facial expression and age variations, but sensitive to registration errors.
