Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Comprehensive analysis of spectral minutiae for vein pattern recognition

Comprehensive analysis of spectral minutiae for vein pattern recognition

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 Title Publication 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 Biometrics — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Similar to biometric fingerprint recognition, characteristic minutiae points – here end and branch points – can be extracted from skeletonised vein images to distinguish individuals. An approach to extract those vein minutiae and to transform them into a fixed-length, translation and scale invariant representation where rotations can be easily compensated is presented in this study. The proposed solution based on spectral minutiae is evaluated against other comparison strategies on three different datasets of wrist and palm dorsal vein samples. The authors' analysis shows a competitive biometric performance while producing features that are compatible with state-of-the-art template protection systems. In addition, a modified and more distinctive, but not transform or rotation invariant, representation is proposed and evaluated.

References

    1. 1)
      • T.M. Cover , J.A. Thomas . (2006) Elements of information theory.
    2. 2)
    3. 3)
      • R. Bolle , S. Pankanti . (1998) Biometrics: personal identification in networked society: personal identification in networked society.
    4. 4)
      • Xu, H., Veldhuis, R.N.: `Complex spectral minutiae representation for fingerprint recognition', 2010 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops, CVPRW, June 2010, p. 1–8.
    5. 5)
      • Xu, H., Veldhuis, R., Kevenaar, T., Akkermans, A., Bazen, A.: `Spectral minutiae: A fixed-length representation of a minutiae set', IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops, 2008, CVPRW '08, June 2008, p. 1–6.
    6. 6)
      • Juels, A., Wattenberg, M.: `A fuzzy commitment scheme', ACM Conf. on Computer and Communications Security, 1999, p. 28–36.
    7. 7)
      • Derakhshani, R., Ross, A., Crihalmeanu, S.: `A new biometric modality using Conjunctival vasculature', Proc. Artificial Neural Networks in Engineering, November 2006.
    8. 8)
      • J. Weickert . Applications of nonlinear diffusion in image processing and computer vision. Acta Math. Univ. Comenianae , 33 - 50
    9. 9)
    10. 10)
      • Tuyls, P., Akkermans, A.H.M., Kevenaar, T.A.M., Schrijen, G.-J., Bazen, A.M., Veldhuis, R.N.J.: `Practical biometric authentication with template protection', Fifth Int. Conf. on Audio- and Video-Based Personal Authentication (AVBPA), July 2005, Rye Brook, New York, p. 436–446, (LNCS, 3546).
    11. 11)
      • Breebaart, J., Busch, C., Grave, J., Kindt, E.: `A reference architecture for biometric template protection based on pseudo identities', BIOSIG, 2008, p. 25–38.
    12. 12)
      • Kumar, A., Prathyusha, K.V.: `Personal authentication using hand vein triangulation and knuckle shape', Trans. Image Process., 2009, 18, p. 2127–2136.
    13. 13)
    14. 14)
      • Olsen, M.A., Hartung, D., Busch, C., Larsen, R.: `Convolution approach for feature detection in topological skeletons obtained from vascular patterns', IEEE Symp. Ser. Computational Intelligence 2011, April 2011.
    15. 15)
    16. 16)
      • Hartung, D., Busch, C.: `Why vein recognition needs privacy protection', Int. Conf. IIH/MSP, 2009, p. 1090–1095.
    17. 17)
      • Struc, V., Pavesic, N.: `Illumination invariant face recognition by non-local smoothing', Proc. BIOID Multicomm, September 2008.
    18. 18)
      • Mirmohamadsadeghi, L., Drygajlo, A.: `Palm vein recognition with local binary patterns and local derivative patterns', Int. Joint Conf. on Biometrics (IJCB), 2011, October 2011, p. 1–6.
    19. 19)
      • Dubuisson, M.-P., Jain, A.: `A modified Hausdorff distance for object matching', Proc. 12th IAPR Int. Conf. on Pattern Recognition, 1994 Vol. 1 – Conference A: Computer Vision Image Processing, October 1994, 1, p. 566–568.
    20. 20)
      • L. Wang , G. Leedham . (2007) Computational intelligence and security, Watershed algorithmic approach for gray-scale skeletonization in thermal vein pattern biometrics.
    21. 21)
      • Chen, H., Lu, G., Wang, R.: `A new palm vein method based on ICP algorithm', Int. Conf. on Information Systems, November 2009.
    22. 22)
    23. 23)
      • Telea, A., van Wijk, J.J.: `An augmented fast marching method for computing skeletons and centerlines', Joint Eurographics – IEEE TCVG Symp. on Vizualization, 2002.
    24. 24)
    25. 25)
      • Hartung, D., Olsen, M.A., Xu, H., Busch, C.: `Spectral minutiae for vein pattern recognition', Int. Joint Conf. on Biometrics (IJCB), 2011, October 2011, 4, p. 1–7.
    26. 26)
      • Pascual, S., Uriarte-Antonio, J.E., Sanchez-Reillo, J.R., Lorenz, M.: `Capturing hand or wrist vein images for biometric authentication using low-cost devices', Sixth Int. Conf. IIH/MSP (IIH-MSP), 2010, October 2010, p. 318–322.
    27. 27)
      • Tuyls, P., Goseling, J.: `Capacity and examples of template-protecting biometric authentication systems', Biometric Authentication, 2004, p. 158–170, (LNCS, 3087).
    28. 28)
      • Frangi, R.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: `Multiscale vessel enhancement filtering', Medical Image Computing and Computer-Assisted Interventation, 1998, p. 130–137.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2011.0013
Loading

Related content

content/journals/10.1049/iet-bmt.2011.0013
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address