Abstract
This paper presents a novel approach to modelling fingerprint deformations. When fingerprints are captured, they undergo a certain amount of distortion due to the application of a three dimensional elastic tissue against a flat surface. This poses a challenge for automated fingerprint verification systems, which are generally based on aligning two fingerprints and comparing their respective features. There are only a few methods reported in the literature for modelling fingerprint distortions. One prominent method is based on using minutiae correspondences as landmarks, and creating a deformation model using thin-plate splines. There are several disadvantages to this approach, and a nonparametric elastic modelling algorithm is developed in this paper to address these issues. Both algorithms have been implemented and are evaluated by incorporating them into a fingerprint verification system. The results show an improvement of the proposed algorithm over the existing method of deformation modelling.
This is a preview of subscription content, log in via an institution to check access.
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., Hong, L., Pankanti, S.: Biometric identification. Comm. ACM 43, 90–98 (2000)
Cappelli, R., Maio, D., Maltoni, D.: Modelling plastic distortion in fingerprint images. In: Proceedings of the Second International Conference on Advances in Pattern Recognition, Rio De Janeiro, Brazil, pp. 369–376 (2001)
Senior, A., Bolle, R.: Improved fingerprint matching by distortion removal. IEICE Transactions on Information and Systems E84-D, 825–831 (2001)
Bookstein, F.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Analysis and Machine Intelligence 11, 567–585 (1989)
Almansa, A., Cohen, L.: Fingerprint matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables. In: Proceedings of the Fifth IEEE Workshop on Applications of Computer Vision, Palm Springs, USA, pp. 35–40 (2000)
Bazen, A., Gerez, S.: Fingerprint matching by thin-plate spline modelling deformations. Pattern Recognition 36, 1859–1867 (2003)
Ross, A., Dass, S., Jain, A.: A deformable model for fingerprint matching. Pattern Recognition 38, 95–103 (2005)
Yager, N., Amin, A.: Fingerprint verification using two stage optimization. Pattern Recognition Letters (In Press)
Burr, D.J.: A dynamic model for image registration. Computer Graphics and Image Processing 15, 102–112 (1981)
FVC2002: Second International Fingerprint Verification Competition, http://bias.csr.unibo.it/fvc2002/
Yager, N., Amin, A.: A novel verification criterion for distortion-free fingerprints. In: Gagalowicz, A., Philips, W. (eds.) CAIP 2005. LNCS, vol. 3691, pp. 65–72. Springer, Heidelberg (2005)
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
Yager, N., Amin, A. (2005). Nonparametric Fingerprint Deformation Modelling. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_10
Download citation
DOI: https://doi.org/10.1007/11556121_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
eBook Packages: Computer ScienceComputer Science (R0)