Impact of Occlusion Masks on Gender Classification from Iris Texture

C Yáñez, JE Tapia, CA Perez, C Busch - IET Biometrics, 2024 - Wiley Online Library
Gender classification on normalized iris images has been previously attempted with varying
degrees of success. In these previous studies, it has been shown that occlusion masks may …

[HTML][HTML] Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation

A Kordas, E Bartuzi-Trokielewicz, M Ołowski… - Sensors, 2024 - mdpi.com
In recent years, the advancement of generative techniques, particularly generative
adversarial networks (GANs), has opened new possibilities for generating synthetic …

SegTex: A Large Scale Synthetic Face Dataset for Face Recognition

L Ambardi, S Hong, IK Park - IEEE Access, 2023 - ieeexplore.ieee.org
Face recognition remains challenged by data limitations in both scale and diversity, coupled
with the ethical dilemmas of using images without the subjects' consent. To address these …

From synthetic data to real palm vein identification: a fine-tuning approach

R Hernández-García… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Palm vein recognition has relevant advantages in comparison with most traditional
biometrics, such as high security and recognition performance. In recent years, CNN-based …

Protocol Based Similarity Evaluation of Publicly Available Synthetic and Real Fingerprint Datasets

D Söllinger, S Kirchgasser, A Uhl… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Several attempts have been made recently to generate synthetic fingerprint data. This has
become necessary after legal changes in Europe and some US states in order to allow and …

Finger Vein Spoof GANs: Can We Supersede the Production of Presentation Attack Artefacts?

A Vorderleitner, J Hämmerle-Uhl, A Uhl - International Workshop on …, 2023 - Springer
Abstract GAN-based I2I translation techniques for unpaired data are employed for the
synthesis of biometric finger vein presentation attack instrument samples corresponding to …

Understanding User Perception of Biometric Privacy in the Era of Generative AI

S Srinivasan - … on Communication, Computing and Industry 6.0 …, 2023 - ieeexplore.ieee.org
In the dynamic world of technology, the fusion of biometrics and artificial intelligence has
ushered in an unprecedented era marked by convenience, security, and cutting-edge …

DiffFinger: Advancing Synthetic Fingerprint Generation through Denoising Diffusion Probabilistic Models

F Grabovski, L Yasur, Y Hacmon, L Nisimov… - arXiv preprint arXiv …, 2024 - arxiv.org
This study explores the generation of synthesized fingerprint images using Denoising
Diffusion Probabilistic Models (DDPMs). The significant obstacles in collecting real biometric …

Unmasking the imposters: towards improving the generalisation of deep learning methods for face presentation attack detection.

FC Abdullakutty - 2023 - rgu-repository.worktribe.com
Identity theft has had a detrimental impact on the reliability of face recognition, which has
been extensively employed in security applications. The most prevalent are presentation …

A Novel Unlocking Control System for Fingerprint Recognition of Atomizer

Y Zhao, Z He - 2023 International Conference on Network …, 2023 - ieeexplore.ieee.org
The atomization device is the main content of the development of the atomized system, but
in the process of unlocking the atomized system, the degree of emergency and the operation …