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.
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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
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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
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