Quality Assessment of Fingerprints with Minutiae Delaunay Triangulation

Z Yao (1) , Jean-Marie Le Bars (1) , Christophe Charrier (1) , Christophe Rosenberger (1)

1 Equipe SAFE - Laboratoire GREYC - UMR6072

This article proposes a new quality assessment method of fingerprint, represented by only a set of minutiae points. The proposed quality metric is modeled with the convex-hull and Delaunay triangulation of the minu-tiae points. The validity of this quality metric is verified on several Fingerprint Verification Competition (FVC) databases by referring to an image-based metric from the state of the art (considered as the reference). The experiments of the utility-based evaluation approach demonstrate that the proposed quality metric is able to generate a desired result. We reveal the possibility of assessing fingerprint quality when only the minutiae template is available.

Mots clés: Fingerprint; minutiae template; quality assessment; evaluation

Domaines: Cryptographie et sécurité [cs.CR]

Z Yao, Jean-Marie Le Bars, Christophe Charrier, Christophe Rosenberger. Quality Assessment of Fingerprints with Minutiae Delaunay Triangulation. International Conference on Information Systems Security and Privacy, Feb 2015, Angers, France. ⟨hal-01096174⟩