Statistical Measures for Biometrics

Statistical Measures for Biometrics - close enough to the...

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Statistical Measures for Biometrics _ False Accept Rate (FAR) FAR is the probability that a user making a false claim about his/her identity will be verified as that false identity. Major reasons: threshold, biometrics of claimed identity is “close” to biometrics of the user making claim. FAR characterizes the strength of the matching algorithm. _ False Reject Rate (FRR) FRR is the probability that a user making a true claim about his/her identity will be rejected as him/herself. Major reasons: threshold, the presented biometric features are not
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Unformatted text preview: close enough to the biometrics template in the database. FRR characterizes the robustness of the algorithm. _ False to Enroll (FTE) FTE is the probability that a user attempting to biometrically enroll will be unable to. Rule of 3 attempts. Major reasons: the biometric hardware; an algorithm that is not tuned properly; a user who is slow in learning how to submit biometrics. _ Equal Error Rate (EER) (Will be defined later)...
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This document was uploaded on 11/03/2011 for the course BIOLOGY BSC1105 at Broward College.

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Statistical Measures for Biometrics - close enough to the...

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