A Biometric Key-Binding and Template Protection Framework Using Correlation Filters
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Securing medical records on smart phones
Proceedings of the first ACM workshop on Security and privacy in medical and home-care systems
An alignment-free fingerprint cryptosystem based on fuzzy vault scheme
Journal of Network and Computer Applications
Cancelable fingerprint templates using minutiae-based bit-strings
Journal of Network and Computer Applications
Classification based revocable biometric identity code generation
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
An analysis of random projection for changeable and privacy-preserving biometric verification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Selecting distinctive features to improve performances of multidimensional fuzzy vault scheme
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
A bio-cryptographic system based on offline signature images
Information Sciences: an International Journal
| Hi-index | 0.00 |
Cryptographic systems have been widely used in many information security applications. One main challenge that these systems have faced has been how to protect private keys from attackers. Recently, biometric cryptosystems have been introduced as a reliable way of concealing private keys by using biometric data. A fuzzy vault refers to a biometric cryptosystem that can be used to effectively protect private keys and to release them only when legitimate users enter their biometric data. In biometric systems, a critical problem is storing biometric templates in a database. However, fuzzy vault systems do not need to directly store these templates since they are combined with private keys by using cryptography. Previous fuzzy vault systems were designed by using fingerprint, face, and so on. However, there has been no attempt to implement a fuzzy vault system that used an iris. In biometric applications, it is widely known that an iris can discriminate between persons better than other biometric modalities. In this paper, we propose a reliable fuzzy vault system based on local iris features. We extracted multiple iris features from multiple local regions in a given iris image, and the exact values of the unordered set were then produced using the clustering method. To align the iris templates with the new input iris data, a shift-matching technique was applied. Experimental results showed that 128-bit private keys were securely and robustly generated by using any given iris data without requiring prealignment.