Description

The MSU SpoofGAN Dataset, was created to synthesize highly realistic, synthetic fingerprint spoof impressions with multiple impressions per generated identitiy. Currently, it consists of 1,500 unique, syntheticly generated fingerprint identities with 3 impressions of each spoof material type (6 spoof types plus live), for a total of 31,500 images. Fig. 1 presents some example SpoofGAN fingerprint images. The database was produced at Michigan State University’s Pattern Recognition and Image Processing (PRIP) Lab, in East Lansing, MI, US. This dataset may be augmented later with additional synthetic fingerprint identities and more spoof types.

Figure 1: Example images of multiple impressions of the same finger generated by SpoofGAN. (a) and (b) show three impressions each of two fingers rendered in a bona fide style, whereas (c) and (d) show three impressions each of the same two fingers in a PA style (ecoflex and body double, respectively)..

Details

Download Instructions

To download the MSU SpoofGAN dataset, please first print out, fill and sign the Agreement and send it to: Steven Grosz (groszste@msu.edu). You will receive a download link upon approval of your usage of the database.

Acknowledgements

If you use this database, please cite the following publication: 


@article{grosz2022spoofgan,
  title={SpoofGAN: Synthetic Fingerprint Spoof Images},
  author={Grosz, Steven A and Jain, Anil K},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2022}
}