Published in
Springer Verlag (Germany), IFIP Advances in Information and Communication Technology , p. 80-90, 2014
DOI: 10.1007/978-3-642-55415-5_7
Links
- ORCID
- Springer Verlag (Germany)
- [arxiv.org] | PDF
- [hal.inria.fr]
- [arxiv.org] | PDF
- [arxiv.org] | PDF
- [www.researchgate.net] | PDF
- [zenodo.org] | PDF
- [hal.inria.fr] | PDF
Tools
New Algorithmic Approaches to Point Constellation Recognition
,
Julien Bringer,
Champenois Robin,
Hervé Chabanne,
Hervé Chabannes,
Jeremie Clement,
Clément Jérémie,
Houda Ferradi,
Marc Heinrich,
Paul Melotti ,
Antoine Voizard,
David Naccache
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Abstract
Point constellation recognition is a common problem with many pattern matching applications. Whilst useful in many contexts, this work is mainly motivated by fingerprint matching. Fingerprints are traditionally modelled as constellations of oriented points called minutiae. The fingerprint verifier's task consists in comparing two point constellations. The compared constellations may differ by rotation and translation or by much more involved transforms such as distortion or occlusion. This paper presents three new constellation matching algorithms. The first two methods generalize an algorithm by Bringer and Despiegel. Our third proposal creates a very interesting analogy between mechanical system simulation and the constellation recognition problem. ; Comment: 14 pages, short version submitted to SEC 2014