how can I calculate the False Rejection Rate (FRR) and the False Acceptance Rate (FAR) for biometrics applications?
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wisam kh on 7 Oct 2018
Edited: KALYAN ACHARJYA on 10 Oct 2018
In biometrics applications, we must measure the False Rejection Rate (FRR) and the False Acceptance Rate (FAR).
I'm confused about this
If I use a database containing 100 people, each person has 8 images, 6 images used as a templates in the database, and two images used for testing purposes.
So I have 600 images as templates in the database and 200 images used for testing.
For the False Rejection Rate (FRR), do I divide the number of original people who have been rejected to 200?
For the False Acceptance Rate (FAR), do I divide the number of fraudsters who have been accepted to 800 or 600?
I'm a little confused.
I need some one to clarify this issue.
Thank you so much.
KALYAN ACHARJYA on 7 Oct 2018
Edited: KALYAN ACHARJYA on 7 Oct 2018
If you have test 100 images to test the biometric security system.
Suppose if it wrongly accepts 10 users to access (unauthorized person), the FAR is 10% Those are wrong accepted (Those are unauthorized)
On the other hand, in FRR
The number of users wrongly decline the access, but actually, they are authorized to access
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