An alignment-free fingerprint cryptosystem based on fuzzy vault scheme
Journal of Network and Computer Applications
Key generation in a voice based template free biometric security system
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
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
Non-user-specific multivariate biometric discretization with medoid-based segmentation
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
An effective biometric cryptosystem combining fingerprints with error correction codes
Expert Systems with Applications: An International Journal
ICEB'10 Proceedings of the Third international conference on Ethics and Policy of Biometrics and International Data Sharing
| Hi-index | 0.00 |
Biometric authentication is increasingly gaining popularity in a wide range of applications. However, the storage of the biometric templates and/or encryption keys that are necessary for such applications is a matter of serious concern, as the compromise of templates or keys necessarily compromises the information secured by those keys. In this paper, we propose a novel method, which requires storage of neither biometric templates nor encryption keys, by directly generating the keys from statistical features of biometric data. An outline of the process is as follows: given biometric samples, a set of statistical features is first extracted from each sample. On each feature subset or single feature, we model the intra and interuser variation by clustering the data into natural clusters using a fuzzy genetic clustering algorithm. Based on the modelling results, we subsequently quantify the consistency of each feature subset or single feature for each user. By selecting the most consistent feature subsets and/or single features for each user individually, we generate the key reliably without compromising its relative security. The proposed method is evaluated on handwritten signature data and compared with related methods, and the results are very promising.