A Framework Design for Human Authentication Based on Biometric Fusion Mechanism
8 Pages Posted: 22 May 2019
Date Written: March 15, 2019
Biometrics has been a rising field of research in the present years and was concerned by using physical characteristics, for instance, those in light of iris or retinal looking at, stand up to affirmation, fingerprints, or voices of individuals to be recognized. Applying low assurance devices palm print is adequately got moreover it is specific, diverged from distinctive systems, for instance, one of a kind finger impression or iris palm print has favored and furthermore it fuses additional features, for instance, basic lines. In this paper a blend of Face , Fingerprint and Palm print is proposed in which the outcomes are computed in view of EER (Error Estimation Rate) and GAR (Genuine Acceptance Rate).
Keywords: Multimodal Biometrics; False Accept Rate; False Reject Rate; Genuine Accept Rate; Score Fusion
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