Generating secure cancelable fingerprint templates using local and global features

Biometric template protection is an important issue to be resolved so that practical biometric authentication systems can be deployed. In this paper, we propose a non-invertible transform to perpendicularly project the distances between a pair of minutiae to a circle to generate the features. To achieve good performance, other local features such as relative angles between the minutiae pair, and global features such as orientation, ridge frequency and total number of minutiae of the randomly sampled blocks around each minutia are also utilized. The cancelable templates are eventually generated by the proposed “Bin-based Quantization (BQ)”. Both feature extraction and cancelable template generation are governed by a secret key to guarantee revocability and security. Experimental results conducted on FVC 2002 data set demonstrate the reasonable good performance of the proposed scheme.

[1]  Anil K. Jain,et al.  Biometric cryptosystems: issues and challenges , 2004, Proceedings of the IEEE.

[2]  Nalini K. Ratha,et al.  Generating Cancelable Fingerprint Templates , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Josef Bigün,et al.  Localization of corresponding points in fingerprints by complex filtering , 2003, Pattern Recognit. Lett..

[4]  Husrev T. Sencar,et al.  A geometric transformation to protect minutiae-based fingerprint templates , 2007, SPIE Defense + Commercial Sensing.

[5]  Martin Wattenberg,et al.  A fuzzy commitment scheme , 1999, CCS '99.

[6]  Yangsheng Wang,et al.  A robust fingerprint matching method , 2005, Pattern Recognit..

[7]  Nasir D. Memon,et al.  Secure Biometric Templates from Fingerprint-Face Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Nasir D. Memon,et al.  Protecting Biometric Templates With Sketch: Theory and Practice , 2007, IEEE Transactions on Information Forensics and Security.

[9]  Andrew Beng Jin Teoh,et al.  Biohashing: two factor authentication featuring fingerprint data and tokenised random number , 2004, Pattern Recognit..

[10]  Raymond N. J. Veldhuis,et al.  Practical Biometric Authentication with Template Protection , 2005, AVBPA.

[11]  Madhu Sudan,et al.  A Fuzzy Vault Scheme , 2006, Des. Codes Cryptogr..

[12]  Nalini K. Ratha,et al.  Impact of singular point detection on fingerprint matching performance , 2005, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05).

[13]  Xudong Jiang,et al.  Fingerprint minutiae matching based on the local and global structures , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.