Abstract
A fingerprint recognition procedure usually contains two stages: registration and authentication. Most fingerprint recognition systems capture multiple samples of the same finger (e.g., eight impressions of a person’s left index finger) at the stage of registration. As a result, it is essential to select several samples as templates. This paper proposes two algorithms maximum match scores (MMS) and greedy maximum match scores (GMMS) based on match scores for template selection. The proposed algorithms need not involve the specific details about the biometric data. Therefore, they are more flexible and can be used in various biometric systems. The two algorithms are compared with Random and sMDIST on the database of FVC2006DB1A, and the experimental results show that the proposed approaches can improve the accuracy of biometric system efficiently. Based on the maximized score model, we propose two strategies: ONLINE and OFFLINE for templates update and analyze the relationship between the two strategies. Preliminary experiments demonstrate that OFFLINE strategy gains better performance and GMMS performs better and can gain steady improvement.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jain, A.K.: Biometric Recognition: Overview and Recent Advances. In: Rueda, L., Mery, D., Kittler, J. (eds.) CIARP 2007. LNCS, vol. 4756, pp. 13–19. Springer, Heidelberg (2007)
Ryu, C., Hakil, K., Jain, A.K.: Template adaptation based fingerprint verification. In: Proc. of International Conference on Pattern Recognition, ICPR, Hong Kong, August 2006, vol. 4, pp. 582–585 (2006)
Jain, A.K., Uludag, U., Ross, A.: Biometric template selection: a case study in fingerprints. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 335–342. Springer, Heidelberg (2003)
Uludag, U., Ross, A., Jain, A.K.: Biometric template selection and update: a case study in fingerprints. Pattern Recognition 37(7), 1533–1542 (2004)
Jiang, X., Ser, W.: Online Fingerprint Template Improvement. IEEE Trans. PAMI 24(8), 1121–1126 (2002)
Jain, A.K., Ross, A.: Fingerprint Mosaicking. In: Proc. Int’l Conf. on Acoustic Speech and Signal Processing, vol. 4, pp. 4064–4067 (2002)
Zhu, E., Yin, J.P., Zhang, G.M., Hu, C.F.: Merging Features of Multiple Template Fingerprint. Journal of National University of Defense Technology 27(6), 26–29 (2005)
Ryu, C., Han, Y., Kim, H.: Super-template Generation Using Successive Bayesian Estimation for Fingerprint Enrollment. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 710–719. Springer, Heidelberg (2005)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, pp. 235–237. Springer, Heidelberg (2003)
Ross, A., Nandakumar, D., Jain, A.K.: Handbook of Multibiometrics. Springer, Heidelberg (2006)
Lumini, A., Nanni, L.: A clustering method for automatic biometric template selection. Pattern Recognition 39, 495–497 (2006)
Roli, F., Didaci, L., Marcialis, G.L.: Template Co-update in Multimodal Biometric Systems. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 1194–1202. Springer, Heidelberg (2007)
Aggarwal, G., Ratha, N.K., Bolle, R.M., Chellappa, R.: Multi-biometric cohort analysis for biometric fusion. In: Acoustics, Speech and Signal Processing, ICASSP 2008, pp. 5224–5227 (2008)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, Heidelberg (2006)
Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On combining classifiers. IEEE Trans. on Pattern Anal. Machine Intell. 20(3), 226–239 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Y., Yin, J., Zhu, E., Hu, C., Chen, H. (2009). Studies of Fingerprint Template Selection and Update. In: Kim, Th., et al. Advances in Computational Science and Engineering. FGCN 2008. Communications in Computer and Information Science, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10238-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-10238-7_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10237-0
Online ISBN: 978-3-642-10238-7
eBook Packages: Computer ScienceComputer Science (R0)