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PLUS-FV3 PALMAR Image Spoofing Data Set (PLUS-FV3 Spoof) - Download Page

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
PLUS-FV3 PALMAR Image Spoofing Data Set (PLUS-FV3 Spoof)

PLUS-FV3 PALMAR Image Spoofing Data Set (PLUS-FV3 Spoof)

The PLUS-FV3 PALMAR Image Spoofing Data Set (PLUS-FV3 Spoof) consists of finger vein images acquired from presentation attack (PA) artefacts. The body of the artefacts are made of beeswax whereas the vein pattern itself is printed on white paper. The images have been acquired using the PLUS-OpenVein Finger Vein Scanner. The source images for extracting the vein pattern have been taken from the publicly available PLUSVein-FV3 Finger Vein Data Set.

Filename and Directory Structure (todo update)

Directory Structure:
[Dataset]/[SubjectID]/

Filename:
[Dataset]_[Perspective]_[SubjectID]_[SessionID]_[FingerID]_[ImageID].png

Placeholder:

  • [Dataset]: Name of the data set (PLUS-FV3-Laser, PLUS-FV3-LED)
  • [Perspective]: Denotes the perspective from which the images are captured (PALMAR)
  • [SubjectID]: The ID of the subject as a 3-digit numer with leading zeros, starting with 001.
  • [SessionID]: The ID of the session as a 2-digit numer with leading zeros.
  • [FingerID]: The ID of the finger as a 2-digit numer with leading zeros.
    • 02: left index finger
    • 03: left middle finger
    • 04: left ring finger
    • 07: right index finger
    • 08: right middle finger
    • 09: right ring finger
  • [ImageID]: The number of the sample as a 2-digit numer with leading zeros, starting with 01.

Reference

[Schuiki21a ] Confronting a Variety of Finger Vein Recognition Algorithms With Wax Presentation Attack Artefacts Johannes Schuiki, Bernhard Prommegger, Andreas Uhl In Proceedings of the 9th IEEE International Workshop on Biometrics and Forensics (IWBF'21), pp. 1-6, Rome, Italy, May 6-7

Obtaining the Database

To obtain the PLUSVein-FV3 Finger Vein Database you have to agree to our license agreement:
PLUSVein-FV3 Consent Form

Please download, fill in and sign the license agreement and send it to A. Uhl or via mail to our department. After checking the license agreement you will be provided with a download link for both, the raw finger vein images as well as the extracted ROI images.