304 citations · 1.1k across the 48 of their papers we have counts for
16 papers · 1 filter
Fingerprint Spoof Generalization
Tarang Chugh, Anil K. Jain
We present a style-transfer based wrapper, called Universal Material Generator (UMG), to improve the generalization performance of any fingerprint spoof detector against spoofs mad…
Finding Missing Children: Aging Deep Face Features
Debayan Deb, Divyansh Aggarwal, Anil K. Jain
Given a gallery of face images of missing children, state-of-the-art face recognition systems fall short in identifying a child (probe) recovered at a later age. We propose an age-…
Jointly De-biasing Face Recognition and Demographic Attribute Estimation
Sixue Gong, Xiaoming Liu, Anil K. Jain
We address the problem of bias in automated face recognition and demographic attribute estimation algorithms, where errors are lower on certain cohorts belonging to specific demogr…
Learning a Fixed-Length Fingerprint Representation
Joshua J. Engelsma, Kai Cao, Anil K. Jain
We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge, inclu…
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…
AdvFaces: Adversarial Face Synthesis
Debayan Deb, Jianbang Zhang, Anil K. Jain
Face recognition systems have been shown to be vulnerable to adversarial examples resulting from adding small perturbations to probe images. Such adversarial images can lead state-…
OCT Fingerprints: Resilience to Presentation Attacks
Tarang Chugh, Anil K. Jain
Optical coherent tomography (OCT) fingerprint technology provides rich depth information, including internal fingerprint (papillary junction) and sweat (eccrine) glands, in additio…
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae
Dinh-Luan Nguyen, Anil K. Jain
Latent fingerprint recognition is not a new topic but it has attracted a lot of attention from researchers in both academia and industry over the past 50 years. With the rapid deve…
Recurrent Embedding Aggregation Network for Video Face Recognition
Sixue Gong, Yichun Shi, Anil K. Jain
Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis. However, for video face recognition, where the base CNNs trained on…
Probabilistic Face Embeddings
Yichun Shi, Anil K. Jain
Embedding methods have achieved success in face recognition by comparing facial features in a latent semantic space. However, in a fully unconstrained face setting, the facial feat…
Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge
Joshua J. Engelsma, Kai Cao, Anil K. Jain
We learn a discriminative fixed length feature representation of fingerprints which stands in contrast to commonly used unordered, variable length sets of minutiae points. To arriv…
Infant-Prints: Fingerprints for Reducing Infant Mortality
Joshua J. Engelsma, Debayan Deb, Anil K. Jain +2
In developing countries around the world, a multitude of infants continue to suffer and die from vaccine-preventable diseases, and malnutrition. Lamentably, the lack of any officia…
Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
Sixue Gong, Yichun Shi, Anil K. Jain
We propose a new approach to video face recognition. Our component-wise feature aggregation network (C-FAN) accepts a set of face images of a subject as an input, and outputs a sin…
Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features
Debayan Deb, Arun Ross, Anil K. Jain +2
Prevailing user authentication schemes on smartphones rely on explicit user interaction, where a user types in a passcode or presents a biometric cue such as face, fingerprint, or…
Learning Continuous Face Age Progression: A Pyramid of GANs
Hongyu Yang, Di Huang, Yunhong Wang +1
The two underlying requirements of face age progression, i.e. aging accuracy and identity permanence, are not well studied in the literature. This paper presents a novel generative…
Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier
Joshua J. Engelsma, Anil K. Jain
Prevailing fingerprint recognition systems are vulnerable to spoof attacks. To mitigate these attacks, automated spoof detectors are trained to distinguish a set of live or bona fi…