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Li et al., 2013 - Google Patents

Predict and improve iris recognition performance based on pairwise image quality assessment

Li et al., 2013

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Document ID
11393523836736490529
Author
Li X
Sun Z
Tan T
Publication year
Publication venue
2013 International Conference on Biometrics (ICB)

External Links

Snippet

The iris recognition performance is partially dependent on the relative quality variations of pairwise iris images. So bridging the gap between the quality and the matching score of pairwise iris images is helpful to predict and improve iris recognition performance. This …
Continue reading at nlpr.ia.ac.cn (PDF) (other versions)

Classifications

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