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Reports (Technical Report) Year : 2014

New Algorithmic Approaches to Point Constellation Recogniti


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.


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Dates and versions

hal-01098399 , version 1 (24-12-2014)


  • HAL Id : hal-01098399 , version 1


Thomas Bourgeat, Julien Bringer, Hervé Chabanne, Robin Champenois, Jérémie Clément, et al.. New Algorithmic Approaches to Point Constellation Recogniti. [Technical Report] CoRR abs/1405.1402 (2014), Ecole normale supérieure. 2014, pp.14. ⟨hal-01098399⟩
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