1. Large Scale Applications Dr. Pushkin Kachroo TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AA

2. Large Scale Applications To reduce # of matches needed –Filtering: using non-bio like sex, age etc. –Binning: using additional biometric

3. Size Small: 1000 (approx. stored samples) Medium: 10K Large: 100K Very Large: 1M Extremely Large: 10M

4. Examples Voter Registration Enrollment Authentication National ID Enrollment Authentication

5. Fingerprint FAR(1)FRR 1 Finger10 -5 10 -3 2 Fingers10 -10 10 -3

6. Enrollment False Positives Quadratic ~ [m x FAR(1)] x m For one finger…10^8 gives 10^11 Two finger it gives 10^6

7. Enrollment False Negatives FNR ~ 10 -3

8. Authentication Accuracy False Rejects: FRR x m = 10 5 for 10 8 size False Accepts: 10 -5

9. Matcher Sizing m(t): Database size J(t): Match throughput; #matches needed/time E(t): Enrollment Rate A(t): Authentication Rate

10. Matcher Throughput

11. Matcher Throughput-2 National ID Voter Registration/Election

12. Total # of Matches Verification on Election Day Enrollment

13. Cost Incremental Cost : Sampling, printing ID, etc.; Linear Exception Handling : Cost of Resolving False Positives; quadratic

14. Total Cost Even for i = 0 we get:

15. Cost-Plot Cost(m) m