Multi Biometric Model for Authentication Method
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
In recent years, biometric authentication has seen considerable improvements in reliability and accuracy,with some biometrics contribute reasonably good overall performance. In biometric based systems for identity verification, static ,(and/or) dynamic biometric measures may be used as personal passwords. However, even the most advanced biometric systems are still facing numerous problems, some inherent to the type of data and some to the methodology itself. Each biometric system must perform four basic tasks i.e. acquisition, feature extraction, matching and decision making. Multimodal systems can significantly improve the recognition and authentication performance in addition to improving population coverage, preventing spoof attacks, increasing the degrees of freedom, and decreasing the failure-toenroll rate. A Multimodal Biometric Authentication Method is proposed that fuses results from both the RS (Reference Subject) and the user’s biometric data to generate a BioCapsule based on secure fusion and employing Biometric Cryptosystems for authentication. The proposed authentication system uses the face and iris image for authenticating a user to access the system. The proposed multimodal biometric authentication method possesses a number of unique qualities, such a user-centric model, privacy-preserving, identity bearing, revocability, cancellable biometrics, non-intrusive authentication and resilient to attacks. It also supports “one-click sign-on” across systems by fusing the user’s biometrics with a distinct RS on each system. The secure fusion based approach is secure against various attacks and it is formally proved.
Authors and Affiliations
Rajesh Kanna, Dr. R. K. Selva kumar, Dr. P. S. K Patra
Keywords
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