@inproceedings{c7926da1c90746faae346c178a7a6d46,
title = "Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables",
abstract = "A common approach in fingerprint matching algorithms consists of minimizing a similarity measure between feature vectors of both images, over a set of linear transformations of one image to the other. In this work we propose the thin-plate spline as a more accurate model for the geometric transformations that arise in fingerprint images. In addition we show how such a model can be integrated into a matching algorithm by means of a two-step iterative minimization with auxiliary variables. Such a method allows to correct many of the false pairings of minutiae commonly found by matching algorithms based on linear transforms.",
keywords = "Deformable models, Energy measurement, Fingerprint recognition, Forensics, Gold, Image matching, Iterative algorithms, Minimization methods, Spline, Vectors",
author = "A. Almansa and L. Cohen",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; 5th IEEE Workshop on Applications of Computer Vision, WACV 2000 ; Conference date: 04-12-2000 Through 06-12-2000",
year = "2000",
month = jan,
day = "1",
doi = "10.1109/WACV.2000.895400",
language = "English",
series = "Proceedings of IEEE Workshop on Applications of Computer Vision",
publisher = "IEEE Computer Society",
pages = "35--40",
booktitle = "Proceedings - 5th IEEE Workshop on Applications of Computer Vision, WACV 2000",
}