Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/10806
Title: Multimodal Biometrics for Robust Fusion Systems using Logic Gates
Authors: Celik, N
Manivannan, N
Balachandran, W
Kosunalp, S
Keywords: Fingerprint;Face;Multimodal recognition;Fusion;Majority vote;Logical gates
Issue Date: 2015
Publisher: OMICS International
Citation: Journal of Biometrics and Biostatistics, 6(1): pp. 1-6, (2015)
Abstract: 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.
URI: http://bura.brunel.ac.uk/handle/2438/10806
DOI: http://dx.doi.org/10.4172/2155-6180.1000218
ISSN: 2155-6180
Appears in Collections:Brunel OA Publishing Fund
Dept of Electronic and Computer Engineering Research Papers

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