© The Institution of Engineering and Technology
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.
References
-
-
1)
-
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, (, 8333), November 2013, pp. 230–241.
-
2)
-
18. Yager, N., Amin, A.: ‘Evaluation of fingerprint orientation field registration algorithms’. Proc. Int. Conf. on Pattern Recognition (17th), 2004, vol. 4, pp. 641–644.
-
3)
-
4)
-
A.K. Jain ,
J. Feng
.
Latent fingerprint matching.
IEEE Trans. Pattern Anal. Mach. Intell.
,
1 ,
88 -
100
-
5)
-
23. Bigun, J. (ed.): ‘Vision with direction: a systematic introduction to image processing and computer vision’ (Springer, 2005).
-
6)
-
2. Maltoni, D., Maio, D., Jain, A., Prabhakar, S.: ‘Handbook of fingerprint recognition’ (Springer Publishing Company, New York, NY, 2009).
-
7)
-
4. Jea, T., Govindaraju, V.: ‘A minutia-based partial fingerprint recognition system’, Pattern Recognit., 2005, 38, (10), pp. 1672–1684 (doi: 10.1016/j.patcog.2005.03.016).
-
8)
-
19. Yager, N., Amin, A.: ‘Fingerprint alignment using a two stage optimization’, Pattern Recognit. Lett., 2006, 27, (5), pp. 317–324 (doi: 10.1016/j.patrec.2005.08.016).
-
9)
-
L.G. Brown
.
A survey of image registration techniques.
ACM Comput. Surv.
,
4 ,
325 -
376
-
10)
-
5. Wang, Y., Hu, J.: ‘Global ridge orientation modeling for partial fingerprint identification’, IEEE Trans. Pattern Anal. Mach. Intell., 2011, 33, (1), pp. 72–87 (doi: 10.1109/TPAMI.2010.73).
-
11)
-
9. NIST: , September 2007.
-
12)
-
11. Indovina, M., Dvornychenko, V., et al: ‘Evaluation of latent fingerprint technologies: extended feature sets (evaluation 2)’. , NIST, 2012.
-
13)
-
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. 171–183.
-
14)
-
N.K. Ratha ,
A.K. Jain
.
A real-time matching system for large fingerprint databases.
IEEE Trans. Pattern Anal. Mach. Intell.
,
799 -
813
-
15)
-
49. Cappelli, R., Ferrara, M., Maltoni, D.: ‘Fingerprint indexing based on minutia cylinder-code’, IEEE Trans. Pattern Anal. Mach. Intell., 2011, 33, (5), pp. 1051–1057 (doi: 10.1109/TPAMI.2010.228).
-
16)
-
20. Garris, M., McCabe, R.: ‘NIST special database 27: fingerprint minutiae from latent and matching tenprint images’. , NISTIR, , 2000.
-
17)
-
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.
-
18)
-
7. Jain, A., Chen, Y., Demirkus, M.: ‘Pores and ridges: high-resolution fingerprint matching using level 3 features’, IEEE Trans. Pattern Anal. Mach. Intell., 2007, pp. 15–27 (doi: 10.1109/TPAMI.2007.250596).
-
19)
-
9. Jain, A., Feng, J.: ‘Latent palmprint matching’, IEEE Trans. Pattern Anal. Mach. Intell., 2009, 31, (6), pp. 1032–1047 (doi: 10.1109/TPAMI.2008.242).
-
20)
-
J. Feng ,
A. Jain
.
Fingerprint reconstruction: from minutiae to phase.
-
21)
-
12. Indovina, M., Dvornychenko, V., Hicklin, R.A., et al: ‘NIST evaluation of latent fingerprint technologies: extended feature sets [evaluation #1]’. , NIST Interagency/Internal Report (NISTIR), , April 2011.
-
22)
-
M. Kass ,
A. Witkin
.
Analyzing oriented patterns.
Comput. Vis. Graph. Image Process.
,
3 ,
362 -
385
-
23)
-
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.
-
24)
-
32. Cappelli, R., Ferrara, M., Maltoni, D.: ‘Minutia cylinder-code: a new representation and matching technique for fingerprint recognition’, IEEE Trans. Pattern Anal. Mach. Intell., 2010, 32, (12), pp. 2128–2141 (doi: 10.1109/TPAMI.2010.52).
-
25)
-
F. Alonso-Fernandez ,
J. Fierrez-Aguilar ,
J. Ortega-Garcia
.
A comparative study of fingerprint image-quality estimation methods.
IEEE Trans. Inf. Forensics Sec.
,
4 ,
734 -
743
-
26)
-
24. Jiang, X., Liu, M., Kot, A.C.: ‘Fingerprint retrieval for identification’, IEEE Trans. Inf. Forensics Sec., 2006, 1, (4), pp. 532–542 (doi: 10.1109/TIFS.2006.885021).
-
27)
-
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. 696–701.
-
28)
-
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).
-
29)
-
8. Ferrara, M., Maltoni, D., Cappelli, R.: ‘Noninvertible minutia cylinder-code representation’, IEEE Trans. Inf. Forensics Secur., 2012, 7, pp. 1727–1737 (doi: 10.1109/TIFS.2012.2215326).
-
30)
-
31)
-
10. Indovina, M., Dvornychenko, V., Tabassi, E., et al: ‘An evaluation of automated latent finger-print identification technology (phase II)’. , April2009.
-
32)
-
33)
-
16. Liu, L., Jiang, T., Yang, J., Zhu, C.: ‘Fingerprint registration by maximization of mutual information’, IEEE Trans. Image Process., 2006, 15, (5), pp. 1100–1110 (doi: 10.1109/TIP.2005.864161).
-
34)
-
25. Feng, J., Zhou, J., Jain, A.K.: ‘Orientation field estimation for latent fingerprint enhancement’, IEEE Trans. Pattern Anal. Mach. Intell., 2013, 35, (4), pp. 925–940 (doi: 10.1109/TPAMI.2012.155).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2014.0087
Related content
content/journals/10.1049/iet-bmt.2014.0087
pub_keyword,iet_inspecKeyword,pub_concept
6
6