Multimodal biometric system based on fusion techniques: a review

N Bala, R Gupta, A Kumar - Information Security Journal: A Global …, 2022 - Taylor & Francis
Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …

[HTML][HTML] A survey of identity recognition via data fusion and feature learning

Z Qin, P Zhao, T Zhuang, F Deng, Y Ding, D Chen - Information Fusion, 2023 - Elsevier
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Deepknuckle: Deep learning for finger knuckle print recognition

AS Tarawneh, AB Hassanat, E Alkafaween, B Sarayrah… - Electronics, 2022 - mdpi.com
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …

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 …

Hand-based person identification using global and part-aware deep feature representation learning

NL Baisa, B Williams, H Rahmani… - … on Image Processing …, 2022 - ieeexplore.ieee.org
In cases of serious crime, including sexual abuse, often the only available information with
demonstrated potential for identification is images of the hands. Since this evidence is …

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 …

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 …

Finger knuckle pattern person identification system based on LDP-NPE and machine learning methods

AM Aljuboori, MH Abed - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
Biometric-based individual distinguishing proof is a successful strategy for consequently
perceiving, with high certainty, an individual's character. The utilization of finger knuckle …

[PDF][PDF] Performance Analysis of Two-Stage Optimal Feature-Selection Techniques for Finger Knuckle Recognition.

P Jayapriya, K Umamaheswari - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Automated biometric authentication attracts the attention of researchers to work on hand-
based images to develop applications in forensics science. Finger Knuckle Print (FKP) is …

Fusion of deep and local gradient-based features for multimodal finger knuckle print identification

O Aiadi, B Khaldi, A Korichi, M Chaa, MB Bezziane… - Cluster …, 2024 - Springer
This paper proposes a novel efficient descriptor for finger knuckle print (FKP) identification.
Our proposed descriptor is called MDL (M agnitude, D irection, and L ocal patterns), as it …