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

Z. Yao, J. Le Bars, C. Charrier, C. Rosenberger

2015

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.

Paper Citation

in Harvard Style

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 - Volume 1: ICISSP, ISBN 978-989-758-081-9, pages 336-343. DOI: 10.5220/0005268403360343

in Bibtex Style

@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 - Volume 1: ICISSP,},
year={2015},
pages={336-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005268403360343},
isbn={978-989-758-081-9},
}

in EndNote Style

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