no code implementations • 21 Apr 2024 • 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 data.
no code implementations • 16 Jan 2024 • Steven A. Grosz, Akash Godbole, Anil K. Jain
Most prior work focuses on extracting global features or local features alone for palmprint matching, whereas this research introduces a novel framework that combines global and local features for enhanced palmprint matching accuracy.
no code implementations • 12 May 2023 • Steven A. Grosz, Kanishka P. Wijewardena, Anil K. Jain
In this work, we leverage a vision transformer architecture for joint spoof detection and matching and report competitive results with state-of-the-art (SOTA) models for both a sequential system (two ViT models operating independently) and a unified architecture (a single ViT model for both tasks).
no code implementations • 9 May 2023 • Akash Godbole, Steven A. Grosz, Anil K. Jain
Using a contactless child palmprint database, Child-PalmDB1, consisting of 19, 158 images from 1, 020 unique palms (in the age range of 6 mos.
no code implementations • 26 Apr 2023 • 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 crime scene (i. e., latent prints or fingermarks).
no code implementations • 25 Nov 2022 • Steven A. Grosz, Anil K. Jain
combining the complimentary representations of attention-based and CNN-based embeddings for improved state-of-the-art (SOTA) fingerprint recognition (both authentication and identification).
no code implementations • 25 Oct 2022 • Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan, Naveen Ramakrishnan, Manoj Aggarwal, Gerard G. Medioni, Anil K. Jain
We further demonstrate that by guiding the ViT to focus in on local, minutiae related features, we can boost the recognition performance.
no code implementations • 19 May 2022 • Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain
Fingerprint recognition systems have been deployed globally in numerous applications including personal devices, forensics, law enforcement, banking, and national identity systems.
no code implementations • 8 May 2022 • Kanishka P. Wijewardena, Steven A. Grosz, Kai Cao, Anil K. Jain
We show that while a deep template can be inverted to produce a fingerprint image that could be matched to its source image, deep templates are more resistant to reconstruction attacks than minutiae templates.
no code implementations • 13 Apr 2022 • Steven A. Grosz, Anil K. Jain
This work aims to demonstrate the utility of synthetic (both live and spoof) fingerprints in supplying these algorithms with sufficient data to improve the performance of fingerprint spoof detection algorithms beyond the capabilities when training on a limited amount of publicly available real datasets.
no code implementations • 10 Jan 2022 • Joshua J. Engelsma, Steven A. Grosz, Anil K. Jain
The publicly available datasets that do exist contain very few identities and impressions per finger.
no code implementations • 6 Apr 2021 • Steven A. Grosz, Joshua J. Engelsma, Eryun Liu, Anil K. Jain
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 the contactless acquisition and the widespread availability of low cost mobile phones capable of capturing photos of fingerprints with sufficient resolution for verification purposes.
no code implementations • 1 Aug 2020 • Steven A. Grosz, Joshua J. Engelsma, Anil K. Jain
While a few studies have conducted white-box evaluations of the fingerprint reader, feature extractor, and matching components, no existing study has provided a full system, white-box analysis of the uncertainty introduced at each stage of a fingerprint recognition system.
no code implementations • 6 Apr 2020 • 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 of accurate and efficient presentation attack detection (PAD) methods.
no code implementations • 2 Sep 2019 • Steven A. Grosz, Joshua J. Engelsma, Nicholas G. Paulter Jr., Anil K. Jain
While a few studies have conducted stand-alone evaluations of the fingerprint reader and feature extraction modules of fingerprint recognition systems, little work has been devoted towards white-box evaluations of the fingerprint matching module.