Multimodal Biometrics for Robust Fusion Systems using Logic Gat esN. Celik1*, N. Manivannan1, W. Balachandran1 and S. Kosunalp2
- *Corresponding Author:
- Celik N
Centre for Electronic Systems Research
Brunel University London, UK
Tel: +44 1895 274000
E-mail: [email protected]
Received date: February 12, 2015; Accepted date: April 08, 2015; Published date: May 10, 2015
Citation: Celik N, Manivannan N, Balachandran W, Kosunalp S (2015) Multimodal Biometrics for Robust Fusion Systems using Logic Gates. J Biom Biostat 6:218. doi:10.4172/2155-6180.1000218
Copyright: © 2015 Celik N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are are credited.
Many professionals indicate that unimodal biometric recognition systems have many shortcomings associated with performance accuracy rates. In order to make the system design more robust, we propose a multimodal biometric which includes fingerprint and face recognition using logical AND operators at decision-level fusion. In this paper, we also discuss some concerns about the security issues regarding the identification and verification processes for the multimodal recognition system against invaders and threatening attackers. While the unimodal fingerprint and face biometric gives recognition rate of 94% and 90.8% respectively, the multi-modal approach was giving a recognition rate of 98% at the decision level fusion, showing an improvement in the accuracy. Also, both the FAR and FRR have been considerably reduced, showing that the multi-modal system implemented is more robust.