2012
DOI: 10.4103/0256-4602.93139
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Multimodal Biometric Person Authentication : A Review

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Cited by 68 publications
(34 citation statements)
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“…The special purpose input devices may limit the scope of CBA implementation in a wider Internet context. The CBA approaches have been reported with algorithm challenges like False Accept Rate (FAR), False Reject Rate (FRR), Equal Error Rate (ERR), Failure to Enrol Rate (FER) and Failure to Capture Rate (FCR) [15].…”
Section: Background and Related Workmentioning
confidence: 99%
“…The special purpose input devices may limit the scope of CBA implementation in a wider Internet context. The CBA approaches have been reported with algorithm challenges like False Accept Rate (FAR), False Reject Rate (FRR), Equal Error Rate (ERR), Failure to Enrol Rate (FER) and Failure to Capture Rate (FCR) [15].…”
Section: Background and Related Workmentioning
confidence: 99%
“…The same issues were reported in other biometric features, including face recognition. In a recent study, Sahoo and Choubisa [35] identified that the video recording feature may enhance security, but it will require post-assessment monitoring of exam sessions for all students, which incurs additional resources and demands extra effort [31]. This discussion implies that biometrics is more reliable in terms of identification; however, they are unreasonably intrusive, expensive and may cause difficulties in wider implementation where students are situated in dispersed geographical locations.…”
Section: Authentication Approachesmentioning
confidence: 99%
“…It is unlikely that a multimodal system, employing several distinct biometric technologies (or a single biometric acquired with different sensors) will suffer from such limitations. The interested reader is pointed to Sahoo et al [6] for detailed tradeoffs of response time, accuracy, and costs between integration modes.…”
Section: Adaptive and Multimodal Biometricsmentioning
confidence: 99%