A systematic review on physiological-based biometric recognition systems: current and future trends

K Shaheed, A Mao, I Qureshi, M Kumar… - … Methods in Engineering, 2021 - Springer
Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

A modified chaotic binary particle swarm optimization scheme and its application in face-iris multimodal biometric identification

Q **ong, X Zhang, X Xu, S He - Electronics, 2021 - mdpi.com
In order to improve the recognition rate of the biometric identification system, the features of
each unimodal biometric are often combined in a certain way. However, there are some …

Cross-spectral iris recognition by learning device-specific band

J Wei, Y Wang, Y Li, R He, Z Sun - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cross-spectral recognition is still an open challenge in iris recognition. In cross-spectral iris
recognition, there exist distinct device-specific bands between near-infrared (NIR) and …

Fast blind deblurring of QR code images based on adaptive scale control

R Chen, Z Zheng, J Pan, Y Yu, H Zhao… - Mobile Networks and …, 2021 - Springer
With the development of 5G technology, the short delay requirements of commercialization
and large amounts of data change our lifestyle day-to-day. In this background, this paper …

Cross spectral iris recognition for surveillance based applications

R Vyas, T Kanumuri, G Sheoran - Multimedia Tools and Applications, 2019 - Springer
Human iris has been explored as one of the most promising biometric traits since last many
years. This paper presents a new ingenious feature extraction approach which is based on …

BioDSSL: A Domain Specific Sensor Language for global, distributed, biometric identification systems

P Hofer, M Roland, R Mayrhofer - 2024 IEEE 12th International …, 2024 - ieeexplore.ieee.org
With biometric identification systems becoming increasingly ubiquitous, their complexity is
escalating due to the integration of diverse sensors and modalities, aimed at minimizing …

Multi-source feature fusion and entropy feature lightweight neural network for constrained multi-state heterogeneous iris recognition

L Shuai, L Yuanning, Z **aodong, H Guang… - IEEE …, 2020 - ieeexplore.ieee.org
Current iris recognition technology faces practical difficulties. For example, due to the
unsteady morphology of a heterogeneous iris generated by a variety of different devices and …

[HTML][HTML] Periocular data fusion for age and gender classification

C Bisogni, L Cascone, F Narducci - Journal of Imaging, 2022 - mdpi.com
In recent years, the study of soft biometrics has gained increasing interest in the security and
business sectors. These characteristics provide limited biometric information about the …

Gotcha-i: a multiview human videos dataset

P Barra, C Bisogni, M Nappi, D Freire-Obregón… - … Symposium on Security …, 2019 - Springer
The growing need of security in large open spaces led to the need to use video capture of
people in different context and illumination and with multiple biometric traits as head pose …

Real-time Client Authentication in Cyberspace using the GLBPD and Three-stream 3D-CNNs with the LSTM

MM Feghhi, V Esmaeili - IEEE Access, 2024 - ieeexplore.ieee.org
Iris is the most accurate biometrics for authentication in cyberspace. Since it is unavailable
for other persons, it creates more dependability to maintain national security. Also, it remains …