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Many iris recognition systems operate under the assumption that non-cosmetic contact lenses will not affect match quality and the convenience using iris biometrics. We show results opposing this belief with a study of 51 contact lens wearing subjects and 64 non contact lens wearing subjects. Our experimental results show that contacts lens wearers are 14 times more likely to be falsely rejected by...
We take advantage of the temporal continuity in an iris video to improve matching performance using signal-level fusion. From multiple frames of a frontal iris video, we create a single average image. For comparison, we reimplement three score-level fusion methods (Ma, Krichen, and Schmid). We find that our signal-level fusion of N images performs better than Ma's or Krichen's score-level fusion methods...
This work studies the effect of pupil dilation on the accuracy of iris biometrics. We find that when matching enrollment and recognition images of the same person, larger differences in pupil dilation yield higher template dissimilarities, and so a greater chance of a false non-match. Another experimental result is that even when the degree of dilation is similar at enrollment and recognition, comparisons...
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