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Fingerprint Matching with Optical Coherence Tomography

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Advances in Visual Computing (ISVC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9475))

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Abstract

Fingerprint recognition is an important security technique with a steadily growing usage for the identification and verification of individuals. However, current fingerprint acquisition systems have certain disadvantages, which include the requirements of physical contact with the acquisition device, and the presence of undesirable artefacts, such as scars, on the surface of the fingerprint. This paper evaluates the accuracy of a complete framework for the capturing of undamaged, undistorted fingerprints from below the skins surface using optical coherence tomography hardware, the extraction and conversion of the subsurface data into a usable fingerprint and the matching of such fingerprints. The ability of the framework to integrate with existing fingerprint recognition systems and its ability to operate as an independent stand-alone system are both evaluated.

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References

  1. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of fingerprint recognition. Springer Science & Business Media (2009)

    Google Scholar 

  2. Babler, W.J.: Embryologic development of epidermal ridges and their configurations. Birth Defects Original Art. Ser. 27, 95–112 (1991)

    Google Scholar 

  3. Huang, D., Swanson, E.A., Lin, C.P., Schuman, J.S., Stinson, W.G., Chang, W., Hee, M.R., Flotte, T., Gregory, K., Puliafito, C.A., et al.: Optical coherence tomography. Science 254, 1178–1181 (1991)

    Article  Google Scholar 

  4. Fercher, A.F., Hitzenberger, C.K., Kamp, G., El-Zaiat, S.Y.: Measurement of intraocular distances by backscattering spectral interferometry. Opt. Commun. 117, 43–48 (1995)

    Article  Google Scholar 

  5. Hamdan, R., Gonzalez, R.G., Ghostine, S., Caussin, C.: Optical coherence tomography: from physical principles to clinical applications. Arch. Cardiovasc. Dis. 105, 529–534 (2012)

    Article  Google Scholar 

  6. Romania, C.P.: Optical coherence tomography in oncological imaging. Rom. Rep. Phy. 66, 75–86 (2014)

    Google Scholar 

  7. Ju, M.J., Lee, S.J., Min, E.J., Kim, Y., Kim, H.Y., Lee, B.H.: Evaluating and identifying pearls and their nuclei by using optical coherence tomography. Opt. Express 18, 13468–13477 (2010)

    Article  Google Scholar 

  8. Chang, S., Larin, K.V., Mao, Y., Flueraru, C., Almuhtadi, W.: Fingerprint spoof detection using near infrared optical analysis, pp. 57–84. Croatia, State of the art in biometrics. Intechopen (2011)

    Google Scholar 

  9. Zhao, Q., Jain, A., Abramovich, G.: 3D to 2D fingerprints: Unrolling and distortion correction. In: 2011 International Joint Conference on Biometrics (IJCB), pp. 1–8. IEEE (2011)

    Google Scholar 

  10. Liu, M., Buma, T.: Biometric mapping of fingertip eccrine glands with optical coherence tomography. Photonics Technol. Lett. IEEE 22, 1677–1679 (2010)

    Google Scholar 

  11. Liu, G., Chen, Z.: Capturing the vital vascular fingerprint with optical coherence tomography. Appl. Opt. 52, 5473–5477 (2013)

    Article  Google Scholar 

  12. Akhoury, S.S., Darlow, L.N.: Extracting subsurface fingerprints using optical coherence tomography. In: 2015 Third International Conference on Digital Information, Networking, and Wireless Communications (DINWC), pp. 184–187. IEEE (2015)

    Google Scholar 

  13. Kovesi, P.: Phase congruency detects corners and edges. In: The Australian Pattern Recognition Society Conference: DICTA 2003 (2003)

    Google Scholar 

  14. Zuiderveld, K.: Contrast limited adaptive histogram equalization. In: Graphics gems IV, Academic Press Professional, Inc., pp. 474–485 (1994)

    Google Scholar 

  15. ISO: Biometric sample quality - Part 4: Finger image. ISO 29794–4:2010, International Organization for Standardization, Geneva, Switzerland (2010)

    Google Scholar 

  16. Davis, L.: Handbook of genetic algorithms (1991)

    Google Scholar 

  17. Spall, J.C.: Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, vol. 65. John Wiley & Sons, New York (2005)

    Google Scholar 

  18. South African Department of Justice,: Protection of Personal Information Act (2013). http://www.justice.gov.za/legislation/acts/2013-004.pdf Accessed 2015–08-27

  19. SecuGen Corporation,: Secugen software development kits (2015). http://secugen.com/products/sdk.htm Accessed 2015–07-14

  20. Drexler, W., Liu, M., Kumar, A., Kamali, T., Unterhuber, A., Leitgeb, R.A.: Optical coherence tomography today: speed, contrast, and multimodality. J. Biomed. Opt. 19, 071412–071412 (2014)

    Article  Google Scholar 

  21. Breithaupt, R., Sousedik, C., Meissner, S.: Full fingerprint scanner using optical coherence tomography. In: 2015 International Workshop on Biometrics and Forensics (IWBF), pp. 1–6. IEEE (2015)

    Google Scholar 

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Acknowledgements

Acknowledgments of support go to Dr. Christiaan van der Walt and Luke Darlow of the Council for Scientific and Industrial Research’s Modelling and Digital Science unit, and the CSIR National Laser Centre.

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Authors and Affiliations

  1. Council for Scientific and Industrial Research, Pretoria, South Africa

    Yaseen Moolla, Ann Singh, Ebrahim Saith & Sharat Akhoury

Authors
  1. Yaseen Moolla
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  2. Ann Singh
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  3. Ebrahim Saith
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  4. Sharat Akhoury
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Corresponding author

Correspondence to Yaseen Moolla .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Moolla, Y., Singh, A., Saith, E., Akhoury, S. (2015). Fingerprint Matching with Optical Coherence Tomography. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham. https://doi.org/10.1007/978-3-319-27863-6_22

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  • DOI: https://doi.org/10.1007/978-3-319-27863-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27862-9

  • Online ISBN: 978-3-319-27863-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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