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ICB
2009
Springer

Image Averaging for Improved Iris Recognition

13 years 10 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 average image. Our signal-level fusion method performs better than methods based on single still images, and better than previously published multi-gallery scorefusion methods. We compare our signal fusion method with another new method: a multi-gallery, multi-probe score fusion method. Between these two new methods, the multi-gallery, multi-probe score fusion has slightly better recognition performance, while the signal fusion has significant advantages in memory and computation requirements.
Karen Hollingsworth, Kevin W. Bowyer, Patrick J. F
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICB
Authors Karen Hollingsworth, Kevin W. Bowyer, Patrick J. Flynn
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