Pre-registration of latent fingerprints based on orientation field

Pre-registration of latent fingerprints based on orientation field

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

Buy article PDF
(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
Your details
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.

In this study, the authors present a hierarchical algorithm to register a partial fingerprint against a full fingerprint using only the orientation fields. In the first level, they shortlist possible locations for registering the partial fingerprint in the full fingerprint using a normalised correlation measure, taking various rotations into account. As a second level, on those candidate locations, they calculate three other similarity measures. They then perform score fusion for all the estimated similarity scores to locate the final registration. By registering a partial fingerprint against a full fingerprint, they can reduce the search space of the minutiae set in the full fingerprint, thereby improving the result of partial fingerprint identification, particularly for poor quality latent fingerprints. They report the rank identification improvements of two minutiae-based automated fingerprint identification systems on the National Institute of Standards and Technology (NIST)-Special Database 27 database when they use the authors hierarchical registration as a pre-alignment.


    1. 1)
      • 1. Holder, E., Robinson, L., Laub, J.: ‘The fingerprint sourcebook’ (US Department of Justice, Office of Justice Programs, National Institute of Justice, Washington, DC, 2011).
    2. 2)
      • 2. Maltoni, D., Maio, D., Jain, A., Prabhakar, S.: ‘Handbook of fingerprint recognition’ (Springer Publishing Company, New York, NY, 2009).
    3. 3)
    4. 4)
    5. 5)
    6. 6)
      • 6. Fang, G., Srihari, S., Srinivasan, H., Phatak, P.: ‘Use of ridge points in partial fingerprint matching’. Proc. of SPIE: Biometric Technology for Human Identification IV, 2007.
    7. 7)
    8. 8)
      • 8. NIST: ‘Evaluation of latent fingerprint technologies’. Available at
    9. 9)
      • 9. NIST: ‘Summary of the results of Phase I ELFT testing’. Available at, September 2007.
    10. 10)
      • 10. Indovina, M., Dvornychenko, V., Tabassi, E., et al: ‘An evaluation of automated latent finger-print identification technology (phase II)’. Technical Report, NIST Interagency/Internal Report (NISTIR), 75-77, April2009.
    11. 11)
      • 11. Indovina, M., Dvornychenko, V., et al: ‘Evaluation of latent fingerprint technologies: extended feature sets (evaluation 2)’. Technical Report NISTIR 7859, NIST, 2012.
    12. 12)
      • 12. Indovina, M., Dvornychenko, V., Hicklin, R.A., et al: ‘NIST evaluation of latent fingerprint technologies: extended feature sets [evaluation #1]’. Technical Report, NIST Interagency/Internal Report (NISTIR), 7775, April 2011.
    13. 13)
    14. 14)
      • 14. Krish, R.P., Fierrez, J., Ramos, D., et al: ‘Partial fingerprint registration for forensics using minutiae-generated orientation fields’. IEEE Second Int. Workshop on Biometrics and Forensics, Valletta, Malta, March 2014.
    15. 15)
      • 15. Krish, R.P., Fierrez, J., Ramos, D., et al: ‘Pre-registration for improved latent fingerprint identification’. Proc. IAPR/IEEE 22nd Int. Conf. on Pattern Recognition, ICPR, Stockholm, Sweden, August 2014, pp. 696701.
    16. 16)
    17. 17)
      • 17. Nilsson, K., Bigun, J.: ‘Registration of fingerprints by complex filtering and by 1D projections of orientation images’, in Kanade, T., Jain, A., Ratha, N.K., (Eds.): ‘Audio-and video-based biometric person authentication’ (Springer Berlin Heidelberg, 2005), pp. 171183.
    18. 18)
      • 18. Yager, N., Amin, A.: ‘Evaluation of fingerprint orientation field registration algorithms’. Proc. Int. Conf. on Pattern Recognition (17th), 2004, vol. 4, pp. 641644.
    19. 19)
    20. 20)
      • 20. Garris, M., McCabe, R.: ‘NIST special database 27: fingerprint minutiae from latent and matching tenprint images’. Technical Report, NISTIR, 6534, 2000.
    21. 21)
      • 21. Krish, R.P., Fierrez, J., Ramos, D., et al: ‘Evaluation of AFIS-ranked latent fingerprint matched template’. Sixth Pacific-Aim Symp. on Image and Video Technology, Mexico, Springer, (LNCS, 8333), November 2013, pp. 230241.
    22. 22)
    23. 23)
      • 23. Bigun, J. (ed.): ‘Vision with direction: a systematic introduction to image processing and computer vision’ (Springer, 2005).
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
      • 30. Available at (NBIS Release 4.2.0).
    31. 31)
      • 31. Available at (MCC SDK 1.4).
    32. 32)
    33. 33)
    34. 34)

Related content

This is a required field
Please enter a valid email address