Convolution methods for mathematical problems in biometrics

Abstract

Estimation of the impostor probability density function from the inter-template and template-sample probability density functions involves a multi-dimensional convolution of the latter density functions. We assume isotropy of the probability distribution functions and use the Fourier transform to express the convolution as a one-dimensional integral with a kernel given by a spherical Bessel function.