Deep learning-driven palmprint and finger knuckle pattern-based multimodal Person recognition system

A Attia, S Mazaa, Z Akhtar, Y Chahir - Multimedia Tools and Applications, 2022 - Springer
Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …

From Geometry to Deep Learning: An Overview of Finger Knuckle Biometrics Recognition Approaches

U Sumalatha, KK Prakasha, S Prabhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Biometric identification technologies are crucial for enhancing security through reliable
personal authentication methods. Among these modalities, finger knuckle biometrics stands …

A multi-layered security framework for medical imaging: integrating compressed digital watermarking and blockchain

B Ferik, L Laimeche, A Meraoumia, O Aldabbas… - IEEE …, 2024 - ieeexplore.ieee.org
In electronic healthcare, patient medical imaging data is critical for remote diagnostic
procedures. The increasing demand to harness the potential of these medical images …

Deep rule-based classifier for finger knuckle pattern recognition system

A Attia, Z Akhtar, NE Chalabi, S Maza, Y Chahir - Evolving Systems, 2021 - Springer
In this paper, we proposed a novel finger knuckle pattern (FKP) based personal
authentication system using multilayer deep rule based (DRB) classifier. The presented …

[PDF][PDF] Multimodal finger dorsal knuckle major and minor print recognition system based on PCANET deep learning

NE Chalabi, A Attia, A Bouziane - ICTACT J Image Video Process, 2020 - ictactjournals.in
Hand-based recognition systems with different traits are widely used techniques and are
trustworthy ones. We can find it in different real life fields such as banks and industries due …

Score level fusion of major and minor finger knuckle patterns based symmetric sum-based rules for person authentication

R Hammouche, A Attia, S Akhrouf - Evolving Systems, 2022 - Springer
This paper present a novel system for person authentication based on score level fusion of
Minor and Major dorsal finger knuckle patterns. In the proposed method, the adaptive single …

[PDF][PDF] A novel system based on phase congruency and gabor-filter bank for finger knuckle pattern authentication

R Hammouche, A Attia, S Akrouf - ICTACT J Image Video Process, 2020 - researchgate.net
The authentication of individuals based on Finger Knuckle print (FKP) is a very interesting
system in the biometric community. In this paper, we introduce a biometric authentication …

FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification

G Arora, A Singh, A Nigam, HM Pandey… - Knowledge-Based …, 2022 - Elsevier
This paper addresses the problem of identification in the Finger-knuckle-print (FKP)
databases. Identification determines the identity of a query of the FKP sample. It involves …

Finger knuckle biometric feature selection based on the FIS_DE optimization algorithm

P Jayapriya, K Umamaheswari - Neural Computing and Applications, 2022 - Springer
In recent years, the hand-based biometric system has received significant attention in
identifying a person. In the hand-based biometric, the finger knuckle print plays a vital role in …

A semi-supervised deep rule-based classifier for robust finger knuckle-print verification

M Benmalek, A Attia, A Bouziane, M Hassaballah - Evolving Systems, 2022 - Springer
Today, biometric recognition systems play an important role in various applications of
different domains. Despite remarkable progress, their performance remains insufficient for …