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Evaluation of Fusion Methods for Latent Fingerprint Matchers

Published

Author(s)

Vladimir N. Dvornychenko

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 Dates
March 29-April 1, 2012
Conference Location
New Delhi
Conference Title
5th IAPR International Conference on Biometrics

Keywords

latent fingerprint matching, automated matching, matcher fusion, biometrics

Citation

Dvornychenko, V. (2012), Evaluation of Fusion Methods for Latent Fingerprint Matchers, 5th IAPR International Conference on Biometrics, New Delhi, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=910369 (Accessed April 20, 2024)
Created March 28, 2012, Updated February 19, 2017