Abstract
A novel fingerprint matching algorithm is proposed in this paper. The algorithm is based on the minutiae local structures, that are invariant with respect to global transformations like translation and rotation. The match algorithm has been implemented inside a smartcard over the Java CardTM platform, meeting the individual’s need for information privacy and the overall authentication procedure security. The main characteristic of the algorithm is to have an asymmetric behaviour, in respect to the execution time, between correct positive and negative matches. The performances in terms of authentication reliability and speed have been tested on some databases from the Fingerprint Verification Competition 2002 (FVC2002). Moreover, our procedure has shown better reliability results when compared with related Java CardTM algorithms.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, Heidelberg (2003), ISBN 0-387-95431-7
User’s Guide to NIST Fingerprint Image Software (NFIS), NISTIR 6813, National Insitute of Standards and Technology
Wegstein, J.H.: An Automated Fingerprint Identification System. U.S. Government Publication, Washington (1982)
Ratha, N.K., Bolle, R.M., Pandit, V.D., Vaish, V.: Robust Fingerprint Authentication Using Local Structural Similarity. IEEE, Los Alamitos (2000)
Jain, K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based Fingerprint Matching. IEEE Transactions on Image Processing 9(5), 846–859 (2000)
Hatano, T., Adachi, T., Shigematsu, S., Morimura, H., Onishi, S., Okazaki, Y., Kyuragi, H.: A Fingerprint Verification Algorithm Using the Differential Matching Rate. In: ICPR 2002, vol. III, pp. 799–802 (2002)
Enrique Ortiz, C.: An Introduction to Java CardTM Technology, Part 1-2-3 (2003)
Maio, D., Maltoni, D., Cappelli, R., Wayman, J.L., Jain, A.K.: FVC 2002: Second Fingerprint Verification Competition. In: Proc. of International Conference on Pattern Recognition, Quebec City, August 11-15, pp. 811–814 (2002)
Java CardTM Biometric API White Paper (Working Document), Version 1.1, NIST/Biometric Consortium (2002)
Moon, Y.S., Ho, H.C., Ng, K.L.: A Secure Card System with Biometric Capability. In: IEEE Conference on Electrical and Computer Eng., vol. 1, pp. 261–266 (1999)
Cucinotta, T., Brigo, R., Di Natale, M.: Hybrid fingerprint matching on programmable smart cards. In: Katsikas, S.K., López, J., Pernul, G. (eds.) TrustBus 2004. LNCS, vol. 3184, pp. 232–241. Springer, Heidelberg (2004)
van Wamelen, P.B., Li, Z., Iyengar, S.S.: A Fast Algorithm for the Point Pattern Matching Problem (2000)
Bistarelli, S., Boffi, G., Rossi, F.: Computer algebra for fingerprint matching. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J., Zomaya, A.Y. (eds.) ICCS 2003. LNCS, vol. 2657, pp. 811–820. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bistarelli, S., Santini, F., Vaccarelli, A. (2005). An Asymmetric Fingerprint Matching Algorithm for Java CardTM . In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_29
Download citation
DOI: https://doi.org/10.1007/11527923_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
eBook Packages: Computer ScienceComputer Science (R0)