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JEI
2008

New approach for liveness detection in fingerprint scanners based on valley noise analysis

13 years 9 months ago
New approach for liveness detection in fingerprint scanners based on valley noise analysis
Recent research has shown that it is possible to spoof a variety of fingerprint scanners using some simple techniques with molds made from plastic, clay, Play-Doh, silicon, or gelatin materials. To protect against spoofing, methods of liveness detection measure physiological signs of life from fingerprints, ensuring that only live fingers are captured for enrollment or authentication. We propose a new liveness detection method based on noise analysis along the valleys in the ridge-valley structure of fingerprint images. Unlike live fingers, which have a clear ridge-valley structure, artificial fingers have a distinct noise distribution due to the material's properties when placed on a fingerprint scanner. Statistical features are extracted in multiresolution scales using the wavelet decomposition technique. Based on these features, liveness separation (live/ nonlive) is performed using classification trees and neural networks. We test this method on the data set, that contains abo...
Bozhao Tan, Stephanie A. C. Schuckers
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2008
Where JEI
Authors Bozhao Tan, Stephanie A. C. Schuckers
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