| Author(s): |
Vladimir N. Dvornychenko; |
| Title: |
Evaluation of Fusion Methods for Latent Fingerprint Matchers |
| Published: |
March 29, 2012 |
| Abstract: |
Matcher fusion is a recognized approach for improving biometric system performance. Our interest in fusion was largely to determine how much performance “headroom” exists with current matcher technology. We employed five latent fingerprint matchers, having the ability to use alternate input data (features); this allows the influence of “data type” to be investigated. Numerical results show it is possible to reduce the final candidate list to two to six candidates, with the probability that the true mate appears in the top (first) position boosted by 6 – 15%-points. |
| Conference: |
5th IAPR International Conference on Biometrics |
| Location: |
New Delhi, -1 |
| Dates: |
March 29-April 1, 2012 |
| Keywords: |
latent fingerprint matching; automated matching; matcher fusion; biometrics |
| Research Areas: |
Biometrics, Public Safety/Security |
| PDF version: |
 Click here to retrieve PDF version of paper (464KB) |
