A New Blind Fingerprint Alignment Algorithm used in Biometric Encryption

DOI

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.

Copyright

© 2014, 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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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  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 231
EP  - 234
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.61
DO  - 10.2991/ccit-14.2014.61
ID  - Zhang2014/01
ER  -