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ICB
2009
Springer

Image Averaging for Improved Iris Recognition

13 years 9 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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