A New Blind Fingerprint Alignment Algorithm used in Biometric Encryption
Xinglong Zhang, Quan Feng, Kang He
Available Online January 2014.
- 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.
- 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 -