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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 15, 1999
Accession Number
ADA359925

Entities

People

  • Christopher L. Frenzen

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Bessel Functions
  • Biometrics
  • Convolution
  • Data Science
  • Distribution Functions
  • Equations
  • Identification
  • Information Science
  • Integrals
  • Mathematics
  • Probability
  • Probability Density Functions
  • Probability Distribution Functions
  • Probability Distributions
  • Template Patterns
  • Universities

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Regression Analysis.