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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 45, Iss. 36 — Dec. 20, 2006
  • pp: 9238–9245

Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis

Yezeng Cheng and Kirill V. Larin  »View Author Affiliations

Applied Optics, Vol. 45, Issue 36, pp. 9238-9245 (2006)

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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.

© 2006 Optical Society of America

OCIS Codes
(100.5010) Image processing : Pattern recognition
(110.4500) Imaging systems : Optical coherence tomography
(160.4670) Materials : Optical materials
(170.6930) Medical optics and biotechnology : Tissue

Original Manuscript: May 11, 2006
Revised Manuscript: August 17, 2006
Manuscript Accepted: August 23, 2006

Virtual Issues
Vol. 2, Iss. 1 Virtual Journal for Biomedical Optics

Yezeng Cheng and Kirill V. Larin, "Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis," Appl. Opt. 45, 9238-9245 (2006)

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