loading
Documents

Research.Publish.Connect.

Paper

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

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

ISBN: 978-989-758-209-7

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.176.189

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: ICISSP, ISBN 978-989-758-209-7, 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 - Volume 1: ICISSP,},
year={2017},
pages={403-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006205704030410},
isbn={978-989-758-209-7},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Fingerprint Class Recognition for Securing EMV Transaction
SN - 978-989-758-209-7
AU - Vibert, B.
AU - M. Le Bars, J.
AU - Rosenberger, C.
AU - Charrier, C.
PY - 2017
SP - 403
EP - 410
DO - 10.5220/0006205704030410

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.