how can I calculate the False Rejection Rate (FRR) and the False Acceptance Rate (FAR) for biometrics applications?
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Hello
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.
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KALYAN ACHARJYA
2018년 10월 7일
편집: KALYAN ACHARJYA
2018년 10월 7일
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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