NUPT-FPV: A multimodal dataset based on fingerprint and finger vein
Paper: A Dataset and Benchmark for Multimodal Biometric Recognition Based on Fingerprint and Finger Vein.
Journal: IEEE Transactions on Information Forensics and Security, 2022.
NUPT-FPV obtained 840 finger information from 140 volunteers, each finger was collected 20 times (collected in two sessions), and 33600 fingerprint and finger vein images were obtained (Each subject provided the index, middle and ring fingers of the left and right hands). It is collected by Nanjing University of Posts and Telecommunications(NJUPT). Any one or group is allowed to use this database free of charge.
Among these subjects, including 108 males and 32 females, the average age was 19.3 years. The minimum age was 16 years old and the maximum age was 29 years old.
During the collection, the collection device was placed on a 1 m high table and the subjects were asked to sit within 0.2-0.5 m in front of the collection device and put their fingers in. Between each collection interval, subjects needed to remove their fingers from the collection device and then put them back in again to ensure the diversity of data. At the same time, the subjects were asked to be in a relaxed state, allowing slight tilt, offset and pressing when putting their fingers in to restore the real scene as much as possible.
Statistics description of the proposed NUPT-FPV dataset
| Data | Subjects | Finger | Repetitions | Session | Size | Total |
|---|---|---|---|---|---|---|
| Fingerprint | 140 | 6 | 10 | 2 | 300*400 | 16800 |
| Finger Vein | 140 | 6 | 10 | 2 | 300*400 | 16800 |
We provide fingerprint and finger vein data for two sessions, numbered 1-20. Researchers who need the complete dataset can contact the email address below.
H. Ren, L. Sun, J. Guo and C. Han, "A Dataset and Benchmark for Multimodal Biometric Recognition Based on Fingerprint and Finger Vein," in IEEE Transactions on Information Forensics and Security, vol. 17, pp. 2030-2043, 2022, doi: 10.1109/TIFS.2022.3175599.
@ARTICLE{9775730,
author={Ren, Hengyi and Sun, Lijuan and Guo, Jian and Han, Chong},
journal={IEEE Transactions on Information Forensics and Security},
title={A Dataset and Benchmark for Multimodal Biometric Recognition Based on Fingerprint and Finger Vein},
year={2022},
volume={17},
number={},
pages={2030-2043},
doi={10.1109/TIFS.2022.3175599}}