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Without training the system with data from other individuals, the concept of threshold is largely pointless. When learning, all biometric systems need to be adjusted for false reject rate and false accept rate (FRR and FAR), but in your situation training will not give you any FAR data. So although you can very easily make sure your system will always ...


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It depends on how the learning is done by the biometrics system. If the system is distributed to you with prior knowledge of what a human face is, and if you're only teaching it the faces it should accept, it would be enough to just enrol the authorised users. If the system is merely a computer vision learning model without any prior knowledge, you'd need ...


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Though this question was asked and answered over two months ago, the State Comptroller of Israel has issued a report asserting that there exist "Fundamental defaults in the state biometric database" (Hebrew). From the linked article: בין הממצאים בדו"ח מבקר המדינה: היעדר מידע ונתונים אודות תופעות גניבת הזהות וההתחזות, לקיחת 430 אלף טביעות אצבע בסורק שהיה ...



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