Abstract
To obtain a large fingerprint template from several partial fingerprints, we propose a novel partial fingerprint mosaicking scheme, which includes a coarse-to-fine alignment stage and a fusion stage, to build a synthetic template from multiple partial fingerprints. In the alignment stage, firstly, a central patch is determined after pair-wised patch matching, then the rest patches are coarsely aligned based on the central patch, thirdly, the locations of patches are optimized globally. In the feature fusion stage, not only minutiae, but also ridge sampling points are fused to increase the information in the synthetic template. The proposed algorithm is tested on two datasets of FVC2002 and the experimental results show that it can achieve a great fingerprint mosaicking performance.
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 subscriptionsReferences
Jain, A., Ross, A.: Fingerprint mosaicking. In: Proceedings of the ICASSP, vol. 4, pp. 406–4067 (2002)
Lee, D., Choi, K., Lee, S., Kim, J.: Fingerprint fusion based on minutiae and ridge for enrollment. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 478–485. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-44887-X_57
Choi, K., Choi, H., Lee, S.: Fingerprint image mosaicking by recursive ridge mapping. J. IEEE Trans. Syst. Man Cybern. Part B 37, 1191–1203 (2007)
Ratha, N.K., Connell, J.H., Bolle, R.M.: Image mosaicing for rolled fingerprint construction. In: Proceedings. Fourteenth International Conference on Pattern Recognition, vol. 2, pp. 1651–1653 (2002)
Zhou, J., He, D., Rong, G.: Effective algorithm for rolled fingerprint construction. J. Electron. Lett. 37, 492–494 (2001)
Choi, K., Choi, H.-S., Kim, J.: Fingerprint mosaicking by rolling and sliding. In: Kanade, T., Jain, A., Ratha, Nalini K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 260–269. Springer, Heidelberg (2005). https://doi.org/10.1007/11527923_27
Yamazaki, M., Li, D., Isshiki, T., Kunieda, H.: SIFT-based algorithm for fingerprint authentication on smartphone. In: Information and Communication Technology for Embedded Systems, pp. 1–5 (2015)
Mathur, S., Vjay, A., Shah, J., Das, S., Malla, A.: Methodology for partial fingerprint enrollment and authentication on mobile devices. In: International Conference on Biometrics, pp. 1–8 (2016)
Feng, J., Ouyang, Z., Cai, A.: Fingerprint matching using ridges. Pattern Recogn. 39, 2131–2140 (2006)
Madsen, K., Nielsen, H.B., Tingleff, O.: Methods for Nonlinear Least Squares Problems. J. Soc. Indu. Appl. Math. 2012, 1409–1415 (2004)
Ross, A., Dass, S.C., Jain, A.K.: Fingerprint warping using ridge curve correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 28, 19–30 (2006)
Acknowledgments
This work is supported by the Natural Science Foundation of Shandong Province, China (No. ZR2014FM004).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, Y., Kong, X., Wang, R., Jin, C., Kim, H. (2019). Study and Realization of Partial Fingerprint Mosaicking Technology for Mobile Devices. In: Sun, Z., He, R., Feng, J., Shan, S., Guo, Z. (eds) Biometric Recognition. CCBR 2019. Lecture Notes in Computer Science(), vol 11818. Springer, Cham. https://doi.org/10.1007/978-3-030-31456-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-31456-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31455-2
Online ISBN: 978-3-030-31456-9
eBook Packages: Computer ScienceComputer Science (R0)