EEMCS EPrints Service
|
||||||||||||||||||||||||||||||||||||
|
Tao, Q. and Veldhuis, R.N.J.
(2008)
Hybrid Fusion for Biometrics: Combining Score-level and Decision-level Fusion.
In: 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshop on Biometrics, 28 Jun 2008, Anchorage, Alaska, US.
pp. 1-6.
IEEE Computer Society.
ISBN 978-1-4244-2340-8
Full text available as:
Official URL: http://dx.doi.org/10.1109/CVPRW.2008.4563106 ![]() AbstractA general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.
Export this item as: To correct this item please ask your editor Repository Staff Only: edit this item |
||||||||||||||||||||||||||||||||||||
