Fingerprint recognition system performance in the maritime environment

Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

Standard

Fingerprint recognition system performance in the maritime environment. / Fakourfar, Hourieh; Belongie, Serge.

I: 2009 Workshop on Applications of Computer Vision, WACV 2009, 2009.

Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

Harvard

Fakourfar, H & Belongie, S 2009, 'Fingerprint recognition system performance in the maritime environment', 2009 Workshop on Applications of Computer Vision, WACV 2009. https://doi.org/10.1109/WACV.2009.5403068

APA

Fakourfar, H., & Belongie, S. (2009). Fingerprint recognition system performance in the maritime environment. 2009 Workshop on Applications of Computer Vision, WACV 2009. https://doi.org/10.1109/WACV.2009.5403068

Vancouver

Fakourfar H, Belongie S. Fingerprint recognition system performance in the maritime environment. 2009 Workshop on Applications of Computer Vision, WACV 2009. 2009. https://doi.org/10.1109/WACV.2009.5403068

Author

Fakourfar, Hourieh ; Belongie, Serge. / Fingerprint recognition system performance in the maritime environment. I: 2009 Workshop on Applications of Computer Vision, WACV 2009. 2009.

Bibtex

@inproceedings{f56ca72acaf2459897bf1b990cbf37a7,
title = "Fingerprint recognition system performance in the maritime environment",
abstract = "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.",
author = "Hourieh Fakourfar and Serge Belongie",
year = "2009",
doi = "10.1109/WACV.2009.5403068",
language = "English",
journal = "2009 Workshop on Applications of Computer Vision, WACV 2009",
note = "2009 Workshop on Applications of Computer Vision, WACV 2009 ; Conference date: 07-12-2009 Through 08-12-2009",

}

RIS

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