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iCarB-Fingerprint

<h3><strong>Description</strong></h3> <p>Contains fingerprint images (.bmp files) from 200 data subjects, acquired using two different fingerprint scanners:</p> <ol> <li>OYSTER III from NEXT Biometrics (thermal sensor).</li> <li>CSD101i from Thales (optical sensor).</li> </ol> <p>During the recording, the data subjects were seated in the driver's seat of a vehicle, with the fingerprint scanners positioned to the right of the steering wheel. &nbsp;</p> <p>The fingerprint images were acquired in the following two scenarios:</p> <p>(1)&nbsp;<strong>Indoors</strong>: The car was parked inside a garage, with controlled (artificial) lighting.<br>(2)&nbsp;<strong>Outdoors</strong>: The car was parked outside, with uncontrolled (natural) lighting.</p> <p>In both scenarios, the following types of fingerprint images were captured to incorporate different variabilities into the recorded fingerprint data, using each of the two fingerprint scanners in turn:</p> <ul> <li>Normal: Fingerprint was captured as is (4 images).</li> <li>Dry: Finger was dried using hand disinfectant and a paper towel (2 images).</li> <li>Moist: Finger was moistened by rubbing it on the nose or forehead (2 images).</li> <li>Hot: Finger was heated by placing it on a hot-water bottle (2 images).</li> <li>Cold: Finger was cooled by placing it on an ice block (2 images).</li> </ul> <p><br>So in total, this dataset consists of 48 fingerprint images per data subject, for the majority of data subjects. &nbsp;For a few data subjects, it was not possible to acquire fingerprint images in some scenarios, so in those cases the number of fingerprint images is less than 48. &nbsp;Taking this point into consideration, the dataset consists of a total of 9,521 fingerprint images across all 200 data subjects.</p> <p>&nbsp;</p> <h3><strong>Reference</strong></h3> <p>If you use this dataset, please cite the following publication:</p> <p>V. Krivokuca Hahn, J. Maceiras, A. Komaty, P. Abbet and S. Marcel, 2024. "<em>in-Car Biometrics (iCarB) Datasets for Driver Recognition: Face, Fingerprint, and Voice</em><span>". arXiv:2411.17305, doi: <a href="https://doi.org/10.48550/arXiv.2411.17305" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2411.17305</a>.</span></p>

ShareScore

12/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
0
Reuse readiness
0
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
December 31, 2023
License
Not reported
DOI
10.34777/ektm-6m84

Scored with release 0.9.0

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