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Authors: Z. Yao ; J. Le Bars ; C. Charrier and C. Rosenberger

Affiliation: Universite de Caen Basse Normandie, France

Keyword(s): Fingerprint, Minutiae Template, Quality Assessment, Evaluation.

Related Ontology Subjects/Areas/Topics: Feature Selection and Extraction ; Pattern Recognition ; Theory and Methods

Abstract: 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 recognition 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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Paper citation in several formats:
Yao, Z.; Le Bars, J.; Charrier, C. and Rosenberger, C. (2015). Fingerprint Quality Assessment Combining Blind Image Quality, Texture and Minutiae Features. In Proceedings of the 1st International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-081-9; ISSN 2184-4356, SciTePress, pages 336-343. DOI: 10.5220/0005268403360343

@conference{icissp15,
author={Z. Yao. and J. {Le Bars}. and C. Charrier. and C. Rosenberger.},
title={Fingerprint Quality Assessment Combining Blind Image Quality, Texture and Minutiae Features},
booktitle={Proceedings of the 1st International Conference on Information Systems Security and Privacy - ICISSP},
year={2015},
pages={336-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005268403360343},
isbn={978-989-758-081-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Information Systems Security and Privacy - ICISSP
TI - Fingerprint Quality Assessment Combining Blind Image Quality, Texture and Minutiae Features
SN - 978-989-758-081-9
IS - 2184-4356
AU - Yao, Z.
AU - Le Bars, J.
AU - Charrier, C.
AU - Rosenberger, C.
PY - 2015
SP - 336
EP - 343
DO - 10.5220/0005268403360343
PB - SciTePress

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