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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Yager, N., & Amin, A. (2005). Nonparametric fingerprint deformation modelling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3691 LNCS, pp. 73–80). https://doi.org/10.1007/11556121_10
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