Title :
Biometric Mobile Template Protection: A Composite Feature Based Fingerprint Fuzzy Vault
Author :
Xi, Kai ; Hu, Jiankun
Author_Institution :
Sch. of Comput. Sci. & IT, RMIT Univ., Melbourne, VIC, Australia
Abstract :
Biometric authentication is emerging as the promising solution to conventional cryptography based authentication technologies. However, protecting users´ biometric templates stored in a mobile device in a secure way is a challenge issue and has attracted many attentions. As one of the possible solutions, the Fuzzy Vault construct binds a secret key and biometric information to provide template protection. Most existing Fingerprint Fuzzy Vault algorithms use pre-aligned fingerprint impressions and rely strongly on image registration, a process that is well known to be nontrivial and unreliable. Moreover, it is inherently insecure to store raw fingerprint images for the alignment. In this paper, we propose a Fingerprint Fuzzy Vault based on composite features which are reliable, distortion tolerant and registration-free. Experimental results on public database show that our scheme can improve verification performance significantly.
Keywords :
cryptography; feature extraction; fingerprint identification; biometric authentication; biometric mobile template protection; composite feature based fingerprint fuzzy vault; Authentication; Biometrics; Cryptography; Data mining; Data security; Fingerprint recognition; Image databases; Image matching; National security; Protection;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5198785