Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Implementing Biometric Security
Implementing Biometric Security
Biometrics: Theory, Methods, and Applications
Biometrics: Theory, Methods, and Applications
Time-series detection of perspiration as a liveness test in fingerprint devices
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Biometric verification of subjects using saccade eye movements
International Journal of Biometrics
A taxonomy of biometric system vulnerabilities and defences
International Journal of Biometrics
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To prevent fingerprint spoofing attack, a simple, effective and low-cost approach for distinguishing artificial fingers from real ones based on spectrum analysis is presented in this paper. We measured the spectral features of both artificial and real fingers. The results show that near infrared images of fingers are sufficient to distinguish real fingers from artificial ones, while near ultraviolet images can be used to detect the surface details of fingers. We present a practical and simple algorithm based on these features that can successfully distinguish between real and artificial fingers regardless of the race of the test subject.