| Determination of Vitality from Non-Invasive
Biomedical Measurement for Use in Integrated Biometric Devices |
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| Reza Derakhshani, Stephanie Schuckers, Lawrence Hornak |
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| Fingerprints are the oldest and most widely used biometrics for
personal identification. Unfortunately, it is usually possible to
deceive automatic fingerprint identification systems by presenting
a well-duplicated synthetic or dismembered finger. This paper introduces
one method to provide fingerprint vitality authentication in order
to solve this problem. Detection of a perspiration pattern over the
fingertip skin identifies the vitality of a fingerprint. Mapping the
two-dimensional fingerprint images into one-dimensional signals, two
ensembles of measures, namely static and dynamic measures, are derived
for classification. Static patterns as well as temporal changes in
dielectric mosaic structure of the skin, caused by perspiration, demonstrate
themselves in these signals. Using these measures, this algorithm
quantifies the sweating pattern and makes a final decision about vitality
of the fingerprint by a neural network trained by examples. |
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| Published in Pattern Recongition 2003. |
