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Communication Dans Un Congrès Année : 2015

Fingerprint Quality Assessment Combining Blind Image Quality, Texture and Minutiae Features

Résumé

Biometric sample quality assessment approaches are generally designed in terms of utility property due to the potential difference between human perception of quality and the biometric quality requirements for a recog-nition system. This study proposes a utility based quality assessment method of fingerprints by considering several complementary aspects: 1) Image quality assessment without any reference which is consistent with human conception of inspecting quality, 2) Textural features related to the fingerprint image and 3) minutiae features which correspond to the most used information for matching. The proposed quality metric is obtained by a linear combination of these features and is validated with a reference metric using different approaches. Experiments performed on several trial databases show the benefit of the proposed fingerprint quality metric.
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Dates et versions

hal-01097723 , version 1 (21-12-2014)

Identifiants

  • HAL Id : hal-01097723 , version 1

Citer

Z Yao, Jean-Marie Le Bars, Christophe Charrier, Christophe Rosenberger. Fingerprint Quality Assessment Combining Blind Image Quality, Texture and Minutiae Features. ICISSP 2015, Feb 2015, http://www.icissp.org/Home.aspx, France. ⟨hal-01097723⟩
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