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...

• Type: Journal
• Year: 2008
• Where: JEI
• Authors: Bozhao Tan, Stephanie A. C. Schuckers
• Keywords: Fingerprint Scanner, JEI 2006, JEI 2008, Liveness Detection, Liveness Detection Method