Cascaded biometric system based on fingerprint and retina for user identity recognition

Abstract

This work proposes a cascaded biometric system based on both the fingerprint and retinal features of the user. This work compares the identity of the user with the feature database based on a single biometric and when mismatch is observed, the second biometric is utilized for user identity recognition. This idea conserves time and supports when a single biometric is not conscribed properly. This phase does not rely on a single biometric and the performance of this phase is better in terms of security. The performance of the work is tested in terms of accuracy, sensitivity, specificity and time consumption rates. The proposed approach outperforms the existing approaches.