9 citations · 35 across the 17 of their papers we have counts for
18 papers
CLIP4Sketch: Enhancing Sketch to Mugshot Matching through Dataset Augmentation using Diffusion Models
Kushal Kumar Jain, Steve Grosz, Anoop M. Namboodiri +1
Forensic sketch-to-mugshot matching is a challenging task in face recognition, primarily hindered by the scarcity of annotated forensic sketches and the modality gap between sketch…
GenPalm: Contactless Palmprint Generation with Diffusion Models
Steven A. Grosz, Anil K. Jain
The scarcity of large-scale palmprint databases poses a significant bottleneck to advancements in contactless palmprint recognition. To address this, researchers have turned to syn…
Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions
Steven A. Grosz, Anil K. Jain
The utilization of synthetic data for fingerprint recognition has garnered increased attention due to its potential to alleviate privacy concerns surrounding sensitive biometric da…
Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings
Steven A. Grosz, Akash Godbole, Anil K. Jain
Contactless palmprints are comprised of both global and local discriminative features. Most prior work focuses on extracting global features or local features alone for palmprint m…
ViT Unified: Joint Fingerprint Recognition and Presentation Attack Detection
Steven A. Grosz, Kanishka P. Wijewardena, Anil K. Jain
A secure fingerprint recognition system must contain both a presentation attack (i.e., spoof) detection and recognition module in order to protect users against unwanted access by…
Child Palm-ID: Contactless Palmprint Recognition for Children
Akash Godbole, Steven A. Grosz, Anil K. Jain
Effective distribution of nutritional and healthcare aid for children, particularly infants and toddlers, in some of the least developed and most impoverished countries of the worl…
Latent Fingerprint Recognition: Fusion of Local and Global Embeddings
Steven A. Grosz, Anil K. Jain
One of the most challenging problems in fingerprint recognition continues to be establishing the identity of a suspect associated with partial and smudgy fingerprints left at a cri…
Hierarchical Fine-Grained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Zhiyuan Ren +3
Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and locali…
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…
C2CL: Contact to Contactless Fingerprint Matching
Steven A. Grosz, Joshua J. Engelsma, Eryun Liu +1
Matching contactless fingerprints or finger photos to contact-based fingerprint impressions has received increased attention in the wake of COVID-19 due to the superior hygiene of…
White-Box Evaluation of Fingerprint Recognition Systems
Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain
Typical evaluations of fingerprint recognition systems consist of end-to-end black-box evaluations, which assess performance in terms of overall identification or authentication ac…
Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach
Steven A. Grosz, Tarang Chugh, Anil K. Jain
The vulnerability of automated fingerprint recognition systems to presentation attacks (PA), i.e., spoof or altered fingers, has been a growing concern, warranting the development…
White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations
Steven A. Grosz, Joshua J. Engelsma, Nicholas G. Paulter +1
Prevailing evaluations of fingerprint recognition systems have been performed as end-to-end black-box tests of fingerprint identification or authentication accuracy. However, perfo…