9 citations · 22 across the 8 of their papers we have counts for
9 papers
AFR-Net: Attention-Driven Fingerprint Recognition Network
Steven A. Grosz, Anil K. Jain
The use of vision transformers (ViT) in computer vision is increasing due to limited inductive biases (e.g., locality, weight sharing, etc.) and increased scalability compared to o…
Minutiae-Guided Fingerprint Embeddings via Vision Transformers
Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan +4
Minutiae matching has long dominated the field of fingerprint recognition. However, deep networks can be used to extract fixed-length embeddings from fingerprints. To date, the few…
On Demographic Bias in Fingerprint Recognition
Akash Godbole, Steven A. Grosz, Karthik Nandakumar +1
Fingerprint recognition systems have been deployed globally in numerous applications including personal devices, forensics, law enforcement, banking, and national identity systems.…
Fingerprint Template Invertibility: Minutiae vs. Deep Templates
Kanishka P. Wijewardena, Steven A. Grosz, Kai Cao +1
Much of the success of fingerprint recognition is attributed to minutiae-based fingerprint representation. It was believed that minutiae templates could not be inverted to obtain a…
SpoofGAN: Synthetic Fingerprint Spoof Images
Steven A. Grosz, Anil K. Jain
A major limitation to advances in fingerprint spoof detection is the lack of publicly available, large-scale fingerprint spoof datasets, a problem which has been compounded by incr…
PrintsGAN: Synthetic Fingerprint Generator
Joshua J. Engelsma, Steven A. Grosz, Anil K. Jain
A major impediment to researchers working in the area of fingerprint recognition is the lack of publicly available, large-scale, fingerprint datasets. The publicly available datase…