Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Peralta, Daniel; Triguero, Isaac; García, Salvador; Herrera, Francisco; Benitez, Jose M. (2016)
Publisher: Elsevier
Languages: English
Types: Article
Nowadays, many companies and institutions need fast and reliable identification systems that are able to deal with very large databases. Fingerprints are among the most used biometric traits for identification. In the current literature there are fingerprint matching algorithms that are focused on efficiency, whilst others are based on accuracy. In this paper we propose a flexible dual phase identification method, called DPD-DFF, that combines two fingers and two matchers within a hybrid fusion scheme to obtain both fast and accurate results. Different alternatives are designed to find a trade-off between runtime and accuracy that can be further tuned with a single parameter. The experiments show that DPD-DFF obtains very competitive results in comparison with the state-of-the-art score fusion techniques, especially when dealing with large databases or impostor fingerprints.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] A. K. Jain, R. M. Bolle, S. Pankanti, Biometrics: Personal Identification in Networked Society, Springer, 2005.
    • [2] S. Pankanti, S. Prabhakar, A. K. Jain, On the individuality of fingerprints, IEEE Trans. Pattern Anal. Mach. Intell. 24 (8) (2002) 1010-1025.
    • [3] D. Maltoni, D. Maio, A. K. Jain, S. Prabhakar, Handbook of fingerprint recognition, Springer-Verlag New York Inc, 2009.
    • [4] A. Jain, L. Hong, R. Bolle, On-line fingerprint verification, IEEE Trans. Pattern Anal. Mach. Intell. 19 (4) (1997) 302-314.
    • [5] A. K. Jain, L. Hong, S. Pankanti, R. Bolle, An identity-authentication system using fingerprints, Proc. IEEE 85 (9) (1997) 1365-1388.
    • [6] N. Ratha, R. Bolle, Automatic Fingerprint Recognition Systems, Springer, New York, 2004.
    • [7] D. Peralta, M. Galar, I. Triguero, D. Paternain, S. Garc´ıa, E. Barrenechea, J. M. Benitez, H. Bustince, F. Herrera, A Survey on Fingerprint Minutiae-based Local Matching for Verification and Identification: Taxonomy and Experimental Evaluation, Inf. Sci. 315 (2015) 67-87.
    • [8] X. Jiang, W. Y. Yau, Fingerprint minutiae matching based on the local and global structures, in: Proc. 15th Int. Conf. Pattern Recognit., Vol. 2, IEEE, 2000, pp. 1038-1041.
    • [9] R. Cappelli, M. Ferrara, D. Maltoni, Minutia cylinder-code: A new representation and matching technique for fingerprint recognition, IEEE Trans. Pattern Anal. Mach. Intell. 32 (12) (2010) 2128-2141.
    • [10] P. Verlinde, G. Chollet, M. Acheroy, Multi-modal identity verification using expert fusion, Inf. Fusion 1 (1) (2000) 17-33.
    • [11] S. Prabhakar, A. K. Jain, Decision-level fusion in fingerprint verification, Pattern Recognit. 35 (4) (2002) 861-874.
    • [12] A. Ross, A. Jain, Information fusion in biometrics, Pattern Recognit. Lett. 24 (13) (2003) 2115-2125.
    • [13] A. K. Jain, P. Flynn, A. A. Ross, Handbook of biometrics, Springer, 2007.
    • [14] A. K. Jain, S. Prabhakar, S. Chen, Combining multiple matchers for a high security fingerprint verification system, Pattern Recognit. Lett. 20 (1999) 1371-1379.
    • [15] X. Jiang, W. Ser, Online fingerprint template improvement, IEEE Trans. Pattern Anal. Mach. Intell. 24 (8) (2002) 1121-1126.
    • [16] H. Xu, R. N. J. Veldhuis, Spectral minutiae representations for fingerprint recognition, in: Proc. 6th Int. Conf. Intell. Inf. Hiding Multimed. Signal Process., 2010, pp. 341-345.
    • [17] G. L. Marcialis, F. Roli, L. Didaci, Multimodal fingerprint verification by score-level fusion: An experimental investigation, J. Intell. Fuzzy Syst. 24 (2013) 51-60.
    • [18] N. K. Ratha, K. Karu, S. Chen, A. K. Jain, A real-time matching system for large fingerprint databases, IEEE Trans. Pattern Anal. Mach. Intell. 18 (8) (1996) 799-813.
    • [19] H. S. Stone, High-performance computer architecture, Addison-Wesley Longman Publishing Co., Inc., 1992.
    • [20] R. Armstrong, D. Gannon, A. Geist, K. Keahey, S. Kohn, L. McInnes, S. Parker, B. Smolinski, Toward a Common Component Architecture for High-Performance Scientific Computing, in: Proc. 8th IEEE Int. Symp. High Perform. Distrib. Comput., 1999, pp. 115-124.
    • [21] R. F. Miron, T. S. Letia, M. Hulea, Two server topologies for a distributed fingerprint-based recognition system, in: 15th Int. Conf. Syst. Theory, Control Comput., 2011, pp. 1-6.
    • [22] K. Beghdad Bey, Z. Guessoum, A. Mokhtari, F. Benhammadi, Agent based approach for distribution of fingerprint matching in a metacomputing environment, in: Proc. 8th Int. Conf. New Technol. Distrib. Syst., 2008, pp. 1-7.
    • [23] D. Peralta, I. Triguero, R. Sanchez-Reillo, F. Herrera, J. M. Benitez, Fast Fingerprint Identification for Large Databases, Pattern Recognit. 47 (2) (2014) 588-602.
    • [24] P. D. Gutierrez, M. Lastra, F. Herrera, J. M. Benitez, A high performance fingerprint matching system for large databases based on GPU, IEEE Trans. Inf. Forensics Secur. 9 (1) (2014) 62-71.
    • [25] R. Cappelli, M. Ferrara, D. Maltoni, Large-scale fingerprint identification on GPU, Inf. Sci. 306 (2015) 1-20.
    • [26] Unique Authentication Authority of India. URL http://uidai.gov.in/
    • [27] Integrated Automated Fingerprint Identification System. URL http://www.fbi.gov/about-us/cjis/fingerprints\_biometrics/iafis/iafis
    • [28] D. Peralta, I. Triguero, S. Garc´ıa, F. Herrera, J. M. Benitez, Supplementary material for “DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases”, Tech. rep., Soft Computing and Intelligent Information Systems, University of Granada (2015). URL http://sci2s.ugr.es/sites/default/files/files/ComplementaryMaterial/DPDDFF/techrep.pdf
    • [29] D. Peralta, M. Galar, I. Triguero, J. M. Benitez, F. Herrera, Minutiae Filtering to Improve Both E cacy and E ciency of Fingerprint Matching Algorithms, Eng. Appl. Artif. Intell. 32 (2014) 37-53.
    • [30] A. Lindoso, L. Entrena, J. Izquierdo, FPGA-based acceleration of fingerprint minutiae matching, in: Proc. 3rd South. Conf. Program. Log., 2007, pp. 81-86.
    • [31] X. Jiang, M. Liu, A. C. Kot, Fingerprint retrieval for identification, IEEE Trans. Inf. Forensics Secur. 1 (4) (2006) 532-542.
    • [32] M. Liu, X. Jiang, A. Chichung Kot, E cient fingerprint search based on database clustering, Pattern Recognit. 40 (6) (2007) 1793-1803.
    • [33] R. Cappelli, M. Ferrara, D. Maltoni, Fingerprint indexing based on minutia cylinder-code, IEEE Trans. Pattern Anal. Mach. Intell. 33 (5) (2011) 1051-1057.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article