Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

A New Blind Fingerprint Alignment Algorithm used in Biometric Encryption

Authors
Xinglong Zhang, Quan Feng, Kang He
Corresponding Author
Xinglong Zhang
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.61How to use a DOI?
Keywords
fingerprint, alignment, biometric, encryption
Abstract
Fuzzy Vault is an effective method to ensure the security of template information. However, this is done after the alignment of the template and the sample. In this paper, an improved blind fingerprint alignment using maximum curvature points of fingerprint is proposed, which are extracted on the dense and reliable orientation field flow curves followed by a post-processing to purify the obtained maximum curvature points. Experimental results show the good alignment accuracy especially in those cases that the template and the query fingerprint images are partially overlapped.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xinglong Zhang
AU  - Quan Feng
AU  - Kang He
PY  - 2014/01
DA  - 2014/01
TI  - A New Blind Fingerprint Alignment Algorithm used in Biometric Encryption
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.61
DO  - https://doi.org/10.2991/ccit-14.2014.61
ID  - Zhang2014/01
ER  -