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» Biometric Recognition: When Is Evidence Fusion Advantageous
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ISVC
2009
Springer
13 years 11 months ago
Biometric Recognition: When Is Evidence Fusion Advantageous?
Abstract. Having assessed the performance gains due to evidence fusion, previous works reported contradictory conclusions. For some, a consistent improvement is achieved, while oth...
Hugo Proença
ICAPR
2009
Springer
13 years 9 months ago
Multisensor Biometric Evidence Fusion for Person Authentication Using Wavelet Decomposition and Monotonic-Decreasing Graph
—This paper presents a novel biometric sensor generated evidence fusion of face and palmprint images using wavelet decomposition for personnel identity verification. The approach...
Dakshina Ranjan Kisku, Jamuna Kanta Sing, Massimo ...
ICPR
2006
IEEE
13 years 11 months ago
A fusion methodology based on Dempster-Shafer evidence theory for two biometric applications
Different features carry more or less rich and varied pieces of information to characterize a pattern. The fusion of these different sources of information can provide an opportun...
Muhammad Arif, Thierry Brouard, Nicole Vincent
ICB
2009
Springer
134views Biometrics» more  ICB 2009»
13 years 11 months ago
Image Averaging for Improved Iris Recognition
We take advantage of the temporal continuity in an iris video to improve matching performance using signal-level fusion. From multiple frames of an iris video, we create a single a...
Karen Hollingsworth, Kevin W. Bowyer, Patrick J. F...
MCS
2007
Springer
13 years 11 months ago
Serial Fusion of Fingerprint and Face Matchers
The serial fusion of multiple biometric traits for personal identity verification has been poorly investigated so far. However, this approach exhibits some potential advantages, fo...
Gian Luca Marcialis, Fabio Roli