Fingerprint recognition system performance in the maritime environment
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Fingerprint recognition system performance in the maritime environment. / Fakourfar, Hourieh; Belongie, Serge.
In: 2009 Workshop on Applications of Computer Vision, WACV 2009, 2009.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - Fingerprint recognition system performance in the maritime environment
AU - Fakourfar, Hourieh
AU - Belongie, Serge
PY - 2009
Y1 - 2009
N2 - This study assesses the effects of prolonged exposure of fingers to water on the performance of existing fingerprint recognition systems. The dataset used in this research is collected using a high-end, multispectral fingerprint scanner. To perform a data acquisition, we recruited volunteers to contribute their fingerprint samples to the dataset in multiple sessions. Once the dataset is filled with both fingerprints under normal and wrinkled conditions, we use a minutiae-based fingerprint verification system to retrieve the match scores between all combinations of prints. Finally, we use receiver operating characteristic (ROC) curve to measure the behavior of such systems under maritime environment. Using the equal error rate (EER), we successfully quantify the degradation in performance due to water-induced skin pruning, which is approximately 1% reduction in EER.
AB - This study assesses the effects of prolonged exposure of fingers to water on the performance of existing fingerprint recognition systems. The dataset used in this research is collected using a high-end, multispectral fingerprint scanner. To perform a data acquisition, we recruited volunteers to contribute their fingerprint samples to the dataset in multiple sessions. Once the dataset is filled with both fingerprints under normal and wrinkled conditions, we use a minutiae-based fingerprint verification system to retrieve the match scores between all combinations of prints. Finally, we use receiver operating characteristic (ROC) curve to measure the behavior of such systems under maritime environment. Using the equal error rate (EER), we successfully quantify the degradation in performance due to water-induced skin pruning, which is approximately 1% reduction in EER.
UR - http://www.scopus.com/inward/record.url?scp=77951184497&partnerID=8YFLogxK
U2 - 10.1109/WACV.2009.5403068
DO - 10.1109/WACV.2009.5403068
M3 - Conference article
AN - SCOPUS:77951184497
JO - 2009 Workshop on Applications of Computer Vision, WACV 2009
JF - 2009 Workshop on Applications of Computer Vision, WACV 2009
T2 - 2009 Workshop on Applications of Computer Vision, WACV 2009
Y2 - 7 December 2009 through 8 December 2009
ER -
ID: 302049174