Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis | Zendy

Yezeng Cheng | Zendy; Kirill V. Larin | Zendy

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Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis

Author(s) -

Yezeng Cheng,

Kirill V. Larin

Publication year - 2006

Publication title -

applied optics

Language(s) - English

Resource type - Journals

ISSN - 0003-6935

DOI - 10.1364/ao.45.009238

Subject(s) - optical coherence tomography , spoofing attack , fingerprint (computing) , biometrics , artificial intelligence , computer science , fingerprint recognition , computer vision , autocorrelation , pattern recognition (psychology) , image processing , optics , mathematics , physics , image (mathematics) , statistics , computer security

Fingerprint recognition is one of the most widely used methods of biometrics. This method relies on the surface topography of a finger and, thus, is potentially vulnerable for spoofing by artificial dummies with embedded fingerprints. In this study, we applied the optical coherence tomography (OCT) technique to distinguish artificial materials commonly used for spoofing fingerprint scanning systems from the real skin. Several artificial fingerprint dummies made from household cement and liquid silicone rubber were prepared and tested using a commercial fingerprint reader and an OCT system. While the artificial fingerprints easily spoofed the commercial fingerprint reader, OCT images revealed the presence of them at all times. We also demonstrated that an autocorrelation analysis of the OCT images could be potentially used in automatic recognition systems.

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