Watson, C.
and Casasent, D.
(2003),
Fingerprint Matching Using Distortion Tolerant Filters, Advances in Fingerprint Recognition, none, none, MD
(Accessed April 26, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Fingerprint Matching Using Distortion Tolerant Filters
Published
Author(s)
, D P. Casasent
Abstract
The purpose of this paper is to discuss the use of distortion tolerant filters to improve the performance of fingerprint correlation matching. Previous work has shown that correlation matching of fingerprints is susceptible to larger false alarm rates than more traditional minutiae based methods. The elasticity of the finger-print creates enough distortion to produce poor results in correlation matching, be-cause the correlation matcher uses the global ridge structure of the fingerprint image. A way to improve correlation matcher performance is to create filters that combine several elastic distorted versions of the fingerprint images. In this work three different distortion tolerant filters are tested: average, synthetic discriminate function (SDF), and minimum average noise and correlation plane energy (MINACE).Citation
Advances in Fingerprint Recognition
Publisher Info
none, none, MD
Pub Type
Book Chapters
Keywords
correlation matching, distortion tolerant filters, fingerprint matching, high-pass filtering, identification, verification
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created February 13, 2003, Updated February 19, 2017