Secure Fingerprint Matching with Generic Local Structures

CVPR Workshops(2014)

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摘要
In this work we evaluate the performance of generic local structures as template points for secure fingerprint matching. We present a generic template structure called an n-gon that derives from a set of n neighboring minutiae points. We secure templates consisting of sets of n-gons using the fuzzy vault construct to obfuscate the data. We report the matching performance of our system in terms of the ZeroFAR for comparison with other systems. We also briefly describe a keyed version of our system for comparison with secure systems that utilize a secret user key.
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关键词
fuzzy vault construct,fuzzy set theory,fingerprint identification,fingerprint,generic template structure,image matching,security,n-gon template,fingerprint, security, fuzzy vault,template points,fingerprint matching security,generic local structures,secret user key,fuzzy vault,matching performance,minutiae points,security of data,decoding,databases,mathematical model,cryptography,testing
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