Precise Multimodal Biometric Fusion Method Using Copula and QR Codes

Saif Al Zahir
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Saif Al Zahir: Department of Electrical and Computer Engineering, University of Victoria, Canada

Biostatistics and Biometrics Open Access Journal, 2017, vol. 1, issue 5, 95-98

Abstract: Biometrics authentication is the process of identifying an individual using some of his/her physiological and/or behavioural traits. These traits include but not limited to their voice, facial features, fingerprints, irises, signatures, DNA, just to name a few. While single modality biometric methods have to deal with noisy sensor data, specificity of the biometric trait and intolerable error rates, the multimodal biometric systems suffer from storage requirements, processing time, convoluted security issues, and the computational complexity. In this paper, we present a new method that provides a solution to error rate problem and security issues.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:1:y:2017:i:5:p:95-98

DOI: 10.19080/BBOAJ.2017.01.555572

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