[HTML][HTML] Interpol review of fingermarks and other body impressions (2019–2022)

A Bécue, C Champod - Forensic Science International: Synergy, 2023‏ - Elsevier
The area of fingermarks is a very active community fuelled with many research papers, case
studies and commentaries proposed during the reviewing period (July 2019–June 2022) …

Printsgan: Synthetic fingerprint generator

JJ Engelsma, S Grosz, AK Jain - IEEE Transactions on Pattern …, 2022‏ - ieeexplore.ieee.org
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 datasets that do …

Spoofgan: Synthetic fingerprint spoof images

SA Grosz, AK Jain - IEEE Transactions on Information …, 2022‏ - ieeexplore.ieee.org
A major limitation to advances in fingerprint presentation attack detection (PAD) is the lack of
publicly available, large-scale datasets, a problem which has been compounded by …

Fingerprint synthesis: Search with 100 million prints

V Mistry, JJ Engelsma, AK Jain - 2020 IEEE International Joint …, 2020‏ - ieeexplore.ieee.org
Evaluation of large-scale fingerprint search algorithms has been limited due to lack of
publicly available datasets. To address this problem, we utilize a Generative Adversarial …

General requirements on synthetic fingerprint images for biometric authentication and forensic investigations

A Makrushin, C Kauba, S Kirchgasser… - Proceedings of the …, 2021‏ - dl.acm.org
Generation of synthetic biometric samples such as, for instance, fingerprint images gains
more and more importance especially in view of recent cross-border regulations on security …

Hq-fingan: High-quality synthetic fingerprint generation using gans

A Sams, HH Shomee, SMM Rahman - Circuits, Systems, and Signal …, 2022‏ - Springer
Artificial fingerprint synthesis can broaden the opportunity for researchers by generating a
large number of realistic synthetic fingerprints without having to worry about legal issues or …

[PDF][PDF] Generation of Privacy-friendly Datasets of Latent Fingerprint Images using Generative Adversarial Networks.

S Seidlitz, K Jürgens, A Makrushin… - VISIGRAPP (4 …, 2021‏ - pdfs.semanticscholar.org
The restrictions posed by the recent trans-border regulations to the usage of biometric data
force researchers in the fields of digitized forensics and biometrics to use synthetic data for …

FPGAN-Control: A controllable fingerprint generator for training with synthetic data

A Shoshan, N Bhonker, E Ben Baruch… - Proceedings of the …, 2024‏ - openaccess.thecvf.com
Training fingerprint recognition models using synthetic data has recently gained increased
attention in the biometric community as it alleviates the dependency on sensitive personal …

Vikriti-ID: A Novel Approach For Real Looking Fingerprint Data-set Generation

R Shukla, A Sinha, V Singh… - Proceedings of the IEEE …, 2024‏ - openaccess.thecvf.com
Fingerprint recognition research faces significant challenges due to the limited availability of
extensive and publicly available fingerprint databases. Existing databases lack a sufficient …

Fingerprint Synthesis

D Maltoni, D Maio, AK Jain, J Feng - Handbook of Fingerprint Recognition, 2022‏ - Springer
Synthetic fingerprints, when properly generated, represent a reasonable substitute for real
fingerprints for the design, training, and benchmarking of fingerprint recognition algorithms …