Fingerprint Class Recognition for Securing EMV Transaction

B. Vibert; J. M. Le Bars; C. Rosenberger; C. Charrier

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Paper

Fingerprint Class Recognition for Securing EMV Transaction

Topics: Authentication, Privacy and Security Models; Biometric Technologies and Applications; Mobile Systems Security; Vulnerability Analysis and Countermeasures

In Proceedings of the 3rd International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 403-410, 2017 , Porto, Portugal

Authors: B. Vibert ; J. M. Le Bars ; C. Rosenberger and C. Charrier

Affiliation: Normandie Univ., UNICAEN, ENSICAEN, CNRS and GREYC, France

Keyword(s): Transaction Security, Fingerprint Class Recognition, ISO Template, Biometric, EMV.

Abstract: Fingerprint analysis is a very important issue in biometry. The minutiae representation of a fingerprint is the most used modality to identify people or authorize access when using a biometric system. In this paper, we propose some features based on triangle parameters from the Delaunay triangulation of minutiae. We show the benefit of these features to recognize the type of a fingerprint without any access to the associated fingerprint image.

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Paper citation in several formats:

Vibert, B.; M. Le Bars, J.; Rosenberger, C. and Charrier, C. (2017). Fingerprint Class Recognition for Securing EMV Transaction. In Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-209-7; ISSN 2184-4356, SciTePress, pages 403-410. DOI: 10.5220/0006205704030410

@conference{icissp17,
author={B. Vibert. and J. {M. Le Bars}. and C. Rosenberger. and C. Charrier.},
title={Fingerprint Class Recognition for Securing EMV Transaction},
booktitle={Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP},
year={2017},
pages={403-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006205704030410},
isbn={978-989-758-209-7},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Information Systems Security and Privacy - ICISSP
TI - Fingerprint Class Recognition for Securing EMV Transaction
SN - 978-989-758-209-7
IS - 2184-4356
AU - Vibert, B.
AU - M. Le Bars, J.
AU - Rosenberger, C.
AU - Charrier, C.
PY - 2017
SP - 403
EP - 410
DO - 10.5220/0006205704030410
PB - SciTePress