Name
Abstract | ||
|---|---|---|
The paper presents results on optimal similarity measures for biometric verification based on fixed-length feature vectors. First, we show that the verification of a single user is equivalent to the detection problem, which implies that, for single-user verification, the likelihood ratio is optimal. Second, we show that, under some general conditions, decisions based on posterior probabilities and likelihood ratios are equivalent and result in the same receiver operating curve. However, in a multi-user situation, these two methods lead to different average error rates. As a third result, we prove theoretically that, for multi-user verification, the use of the likelihood ratio is optimal in terms of average error rates. The superiority of this method is illustrated by experiments in fingerprint verification. It is shown that error rates below 10-3 can be achieved when using multiple fingerprints for template construction. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/TCSVT.2003.818356 | Circuits and Systems for Video Technology, IEEE Transactions |
Keywords | Field | DocType |
biometrics (access control),error statistics,fingerprint identification,image matching,probability,average error rates,biometric verification,fingerprint matching,fingerprint verification,fixed-length feature vectors,likelihood ratio,multi-user verification,optimal similarity measures,posterior probabilities,single-user verification,receiver operator curve,error rate,feature vector,posterior probability | Similitude,Feature vector,Receiver operating characteristic,Pattern recognition,Fingerprint recognition,Fingerprint Verification Competition,Computer science,Fingerprint,Posterior probability,Artificial intelligence,Biometrics | Journal |
Volume | Issue | ISSN |
14 | 1 | 1051-8215 |
Citations | PageRank | References |
28 | 2.70 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. M. Bazen | 1 | 43 | 3.45 |
| R. N. J. Veldhuis | 2 | 88 | 7.52 |