Biometrical fingerprint recognition: don't get your fingers burned
Proceedings of the fourth working conference on smart card research and advanced applications on Smart card research and advanced applications
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Liveness detection of fingerprint based on band-selective Fourier spectrum
ICISC'07 Proceedings of the 10th international conference on Information security and cryptology
Fake fingerprint detection by odor analysis
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Fake finger detection by skin distortion analysis
IEEE Transactions on Information Forensics and Security
Time-series detection of perspiration as a liveness test in fingerprint devices
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A new approach to fake finger detection based on skin elasticity analysis
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Vitality detection in fingerprint identification
WSEAS Transactions on Information Science and Applications
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This paper introduces a new method for detecting fake finger using the fractional Fourier transform (FrFT). The advantage of this method is to require one fingerprint image. The fingerprint is a texture with the interleaving of ridge and valley. When the fingerprint is transformed into the spectral domain, we found energy of fingerprint. Generally, the energy of live fingerprints is larger than the energy of fake fingerprints. Therefore, the energy in the spectral image of a fingerprint can be a feature for detecting of fake fingers. We transformed the fingerprint image into the spatial frequency domain using 2D Fast Fourier transform and detected a specific line in the spectrum image. This lineis transformed into the fractional Fourier domain using the fractional Fourier transform. And, the standard deviation of it is used to discriminate between fake and live fingerprints. For experiment, we made fake fingers of silicone, gelatin, paper and film. And, the fake finger database is created, by which the performance of a fingerprint verification system can be evaluated with higher precision. The experimental results demonstrate that the proposed method can detect fake fingers.