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UCSD Computer Vision

Wet and Wrinkled Fingerprint Recognition

Prasanna Krishnasamy, David Kriegman


When fingers wrinkle in water, they become harder to recognize as similar to a dry finger, based on fingerprint scans. Vision lab has taken this problem forward by introducing the WWF(Wet and Wrinkled Finger) dataset and baseline performances on a NBIS matcher and a commercial algorithm. We have also proposed a classifier to distinguish wrinkled from non-wrinkled by using Wavelet features.



Related Publications

Krishnasamy P., Belongie S., Kriegman D., "Wet Fingerprint Recognition: Challenges and Opportunities", International Joint Conference on Biometrics (IJCB), Washington, DC, October, 2011. [BibTex][pdf]