An Evaluation of Template Splitting to Prevent Sample Reconstruction from Fingerprint Templates

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Author

Ashwin Mohan

Tech report number

CERIAS TR 2010-10

Entry type

mastersthesis

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.

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Date

2010 – 7 – 12

Key alpha

Mohan

School

Purdue University - Main Campus

Affiliation

CERIAS

Publication Date

2010-07-12

Keywords

Biometrics, Fingerprints, Template Splitting, Fingerprint Reconstruction, Performance

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