Hand Book on MultiBiometric Cryptosystems
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Multibiometric systems effectively address the problem arising because of noisy data. When the information acquired from one biometric trait is corrupted by noise, it is possible to use information acquired from the other biometric trait. A few frameworks likewise take into contemplation's the nature of gained input biometric signals amid the combination procedure. Estimating the quality of acquired biometric data is in itself a challenging problem. However, if done appropriately, multibiometric systems gain significant benefits. A Multibiometric framework goes about as a fault tolerant framew...
Multibiometric systems effectively address the problem arising because of noisy data. When the information acquired from one biometric trait is corrupted by noise, it is possible to use information acquired from the other biometric trait. A few frameworks likewise take into contemplation's the nature of gained input biometric signals amid the combination procedure. Estimating the quality of acquired biometric data is in itself a challenging problem. However, if done appropriately, multibiometric systems gain significant benefits. A Multibiometric framework goes about as a fault tolerant framework by proceeding to work not withstanding when data from certain biometric sources unreliable because of untrustworthy due to sensor or programming breakdowns or deliberate client control. Fault tolerance is usually desirable in Authentication systems involving large number of subjects
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