A New Blind Fingerprint Alignment Algorithm used in Biometric Encryption
- https://doi.org/10.2991/ccit-14.2014.61How to use a DOI?
- fingerprint, alignment, biometric, encryption
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.
- © 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/).
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 - 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 - https://doi.org/10.2991/ccit-14.2014.61 ID - Zhang2014/01 ER -