A cross-correlated feature fusion technique for multimodal biometric system
R. Vinothkanna, K. Santhi · International Journal of Biomedical Engineering and Technology · 2017
Biometrics is one important class of security systems which is gaining widespread significance in recent times. Almost all real-time applications in practice today ranging from banking to public and private sectors utilise biometric system of authentication for employee identification, client services. The biometric data are usually stored in a large database which bears a direct consequence on the security of stored biometric features. The proposed system is a multimodal biometric system developed for passport verification incorporating three biometric traits such as iris, fingerprint and finger vein. A multi-resolution frequency domain approximation technique has been utilised for efficient feature extraction followed by a fusion rule for matching to decide upon the authenticity of the use. The proposed system has been implemented using a real-time fingerprint scanner and the classification rate observed from the experimental results indicates the superiority of the developed system.