Local binary pattern and wavelet-based spoof fingerprint detection
International Journal of Biometrics
Vitality Detection from Fingerprint Images: A Critical Survey
ICB '07 Proceedings of the international conference on Advances in Biometrics
First International Fingerprint Liveness Detection Competition--LivDet 2009
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Liveness detection of fingerprint based on band-selective Fourier spectrum
ICISC'07 Proceedings of the 10th international conference on Information security and cryptology
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
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It has been showed that, by employing fake fingers, the existing fingerprint recognition systems may be easily deceived. So, there is an urgent need for improving their security. Software-based liveness detection algorithms typically exploit morphological and perspiration-based characteristics separately to measure the vitality. Both such features provide discriminant information about live and fake fingers, then, it is reasonable to investigate also their joint contribution. In this paper, we combine a set of the most robust morphological and perspiration-based measures. The effectiveness of the proposed approach has been assessed through a comparison with several state-of-the-art techniques for liveness detection. Experiments have been carried out, for the first time, by adopting standard databases. They have been taken from the Liveness Detection Competition 2009 whose data have been acquired by using three different optical sensors. Further, we have analyzed how the performance of our algorithm changes when the material employed for the spoof attack is not available during the training of the system.