http://iet.metastore.ingenta.com
1887

Optical coherence tomography used for security and fingerprint-sensing applications

Optical coherence tomography used for security and fingerprint-sensing applications

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Image Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Optical coherence tomography (OCT) is an emerging technology for high-resolution cross-sectional imaging of three-dimensional structures. In the past, OCT systems have been used mainly for medical applications, especially ophthalmological diagnostics. As the OCT system is capable of exploring the internal features of an object, the authors apply OCT technology to document security and fingerprint-based biometrics by directly retrieving the two-dimensional information form of a multiple-layer information carrier and internal human body objects. Since a typical depth-resolution of an OCT system is of micrometre scale, an information carrier having a volume of 20 mm×20 mm×2 mm could contain 200 mega-pixel images. On other hand, the technologies used in conventional biometrics can be easily fooled and tampered with by using artificial dummies, because these ID features are extracted only from the surface of the skin. Hence the use of OCT to explore the internal biometrics becomes increasingly important.

References

    1. 1)
      • Toh, K.A., Eng, H.L., Choo, Y.S.: `Identity verification through palm vein and crease texture', Proc. Advances in Biometrics, 2006, p. 546–553.
    2. 2)
      • L.Y. Wang , G. Leedham . A thermal hand vein pattern verification system. Lect. Notes Comput. Sci. , 58 - 65
    3. 3)
    4. 4)
    5. 5)
      • Emerging Biometric Technologiges. GlobalSecurity: available at http://www.globalsecurity.org/security/systems/emerging.htm, accessed January 2007.
    6. 6)
      • K.A. Nixon , R.K. Rowe . Multispectral fingerprint imaging for spoof detection. Proc. SPIE , 214 - 225
    7. 7)
      • D. Huang . Optical coherence tomography. Science , 1178 - 1181
    8. 8)
    9. 9)
      • B.E. Bouma , G.J. Tearney . (2002) Handbook of optical coherence tomography.
    10. 10)
      • E.A. Beaurepaire , C. Boccara , M. Lebec . Full-field optical coherence microscopy. Opt. Lett. , 244 - 246
    11. 11)
    12. 12)
    13. 13)
    14. 14)
      • J.E. Greivenkamp , J.H. Bruning . (1992) Optical Shop Testing.
    15. 15)
      • P. Carré . Installation et utilization du comparateur photoélectrique et interferentiel du Bureau International des Poids et Mesures. Metrologia , 13 , 13 - 23
    16. 16)
      • P. Hariharan , B.F. Orebm , T. Eiju . Digital phase-shifting interferometry: a simple error-compensating phase calculation algorithm. Appl. Opt. , 2504 - 2506
    17. 17)
      • S. Chang , X. Cai , C. Flueraru . An efficient algorithm used for full-field optical coherence tomography. Opt. Lasers Eng. , 1170 - 1176
    18. 18)
      • Matsumoto, T., Matsumoto, H., Yamada, K.: `Impact of artificial ‘gummy’ fingers on fingerprint systems', Proc. SPIE 4677, 2002, p. 275–289.
    19. 19)
      • H. Suzuki , M. Yamaguchi , M. Yachida . Experimental evaluation of fingerprint verification system based on double random phase encoding. Opt. Express , 1755 - 1766
    20. 20)
      • R.K. Manapuram , M. Ghosn , K.V. Larin . Identification of artificial fingerprints using optical coherence tomography technique. Asian J. Phys. , 15 - 27
    21. 21)
      • Y. Cheng , K.V. Larin . Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis. Appl. Opt. , 9238 - 9245
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr_20070021
Loading

Related content

content/journals/10.1049/iet-ipr_20070021
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address