Artificial finger detection by spectrum analysis
by Shoude Chang, Jeff Secker, Qinghan Xiao, Brittany Reid, Alexander Bergeron, Wahab Almuhtadi
International Journal of Biometrics (IJBM), Vol. 3, No. 4, 2011

Abstract: 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.

Online publication date: Sat, 24-Jan-2015

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