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• W2185709898 abstract "Most biometric verification systems are done based on knowledge base and token based identification these are prone to fraud. Biometric authentication employs unique combinations of measurable physical characteristicsfingerprint, facial features , iris of the eye, voice print and so on- that cannot be readily imitated or forged by others We examine three biometric authentication modalities – voice, face and gesture as well as password entry, on a system, to explore the relative demands on user time, effort, error and task disruption. Our laboratory study provided observations of user actions, strategies, and reactions to the authentication methods. Face and voice biometrics conditions were faster than password entry. Speaking a PIN was the fastest for biometric sample entry, but short-term memory recall was better in the face verification condition. None of the authentication conditions were considered very usable. In conditions that combined two biometric entry methods, the time to acquire the biometric samples was shorter than if acquired separately but they were very unpopular and had high memory task error rates. These quantitative results demonstrate cognitive and motor differences between biometric authentication modalities, and inform policy decisions in selecting authentication methods." @default.
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• W2185709898 date "2014-01-01" @default.
• W2185709898 modified "2023-09-24" @default.
• W2185709898 title "IJESRTJOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY System Security by Measuring and Analyzing Biological Data Authentication Modalities" @default.
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