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Proceedings Paper

Alignment and bit extraction for secure fingerprint biometrics
Author(s): A. Nagar; S. Rane; A. Vetro
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Paper Abstract

Security of biometric templates stored in a system is important because a stolen template can compromise system security as well as user privacy. Therefore, a number of secure biometrics schemes have been proposed that facilitate matching of feature templates without the need for a stored biometric sample. However, most of these schemes suffer from poor matching performance owing to the difficulty of designing biometric features that remain robust over repeated biometric measurements. This paper describes a scheme to extract binary features from fingerprints using minutia points and fingerprint ridges. The features are amenable to direct matching based on binary Hamming distance, but are especially suitable for use in secure biometric cryptosystems that use standard error correcting codes. Given all binary features, a method for retaining only the most discriminable features is presented which improves the Genuine Accept Rate (GAR) from 82% to 90% at a False Accept Rate (FAR) of 0.1% on a well-known public database. Additionally, incorporating singular points such as a core or delta feature is shown to improve the matching tradeoff.

Paper Details

Date Published: 27 January 2010
PDF: 14 pages
Proc. SPIE 7541, Media Forensics and Security II, 75410N (27 January 2010); doi: 10.1117/12.839130
Show Author Affiliations
A. Nagar, Michigan State Univ. (United States)
S. Rane, Mitsubishi Electric Research Labs. (United States)
A. Vetro, Mitsubishi Electric Research Labs. (United States)

Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp III, Editor(s)

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