An evaluation of template splitting to prevent sample reconstruction from fingerprint templates
Abstract
Current research in fingerprint recognition systems have shown that given a fingerprint template, an approximation of the original fingerprint sample can be created. In this thesis, the capability of template splitting to prevent sample reconstruction from fingerprint templates is evaluated. An attack simulation was formulated as part of this thesis for testing template splitting within a fingerprint verification setup in its ability to prevent sample reconstruction. False Non Match Rate (FNMR) was used as the performance metric. Statistical analysis of the FNMR showed that the use of template splitting results in a significant decrease in the capability of approximate fingerprint samples to get matched within the fingerprint system.
Degree
M.S.
Advisors
Elliott, Purdue University.
Subject Area
Computer science
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