Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Two Schemes Of Finger Vein Cryptosystem

Authors
Gesi Meng, Peiyu Fang
Corresponding Author
Gesi Meng
Available Online August 2016.
DOI
10.2991/cset-16.2016.58How to use a DOI?
Keywords
Authentication, finger vein, fuzzy vault, fuzzy extraction, security
Abstract

Biometric Authentication Technology is an important means to guarantee information security. As one of the most important technology of authentication, finger vein recognition attracts our attention because of its high security, reliable accuracy and excellent performance. However, in the current system, the user's feature vectors are saved in the database directly which would cause a lot of security problems. In order to solve these problems, we designed two complete finger vein encryption schemes based on fuzzy fault and fuzzy extraction. Through experiments, we proved that these two schemes not only guarantee a low False Acceptance Rate but also protect the biometric vectors.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
10.2991/cset-16.2016.58
ISSN
2352-538X
DOI
10.2991/cset-16.2016.58How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gesi Meng
AU  - Peiyu Fang
PY  - 2016/08
DA  - 2016/08
TI  - Two Schemes Of Finger Vein Cryptosystem
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 246
EP  - 250
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.58
DO  - 10.2991/cset-16.2016.58
ID  - Meng2016/08
ER  -