[HTML][HTML] Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure

M Alghamdi, P Angelov, LP Alvaro - Neurocomputing, 2022 - Elsevier
In this paper, an approach that makes use of knuckle creases and fingernails for person
identification is presented. It introduces a framework for automatic person identification that …

Automated person identification framework based on fingernails and dorsal knuckle patterns

M Alghamdi, P Angelov… - 2021 IEEE Symposium …, 2021 - ieeexplore.ieee.org
Handimages are of paramount importance within critical domains like security and criminal
investigation. They can sometimes be the only available evidence of an offender's identity at …

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 …

[PDF][PDF] Exploiting the deep learning with fingerphotos to recognize people

RRO Al-Nima, SQ Hasan, S Esmail - International Journal of …, 2020 - researchgate.net
Biometrics based user authentication for mobile devices are now being commonly popular.
In this paper, an authentication approach is proposed based on recognizing images of …

Finger kunckcle patterns based person recognition via bank of multi-scale binarized statistical texture features

A Attia, M Chaa, Z Akhtar, Y Chahir - Evolving Systems, 2020 - Springer
This paper proposes a novel finger knuckle patterns (FKP) based biometric recognition
system that utilizes multi-scale bank of binarized statistical image features (B-BSIF) due to …

[PDF][PDF] Left or Right Hand Classification from Fingerprint Images Using a Deep Neural Network.

J Kim, B Rim, NJ Sung, M Hong - Computers, Materials & …, 2020 - cdn.techscience.cn
Fingerprint security technology has attracted a great deal of attention in recent years
because of its unique biometric information that does not change over an individual's lifetime …

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 …

Feature level fusion of multi-instance finger knuckle print for person identification

DS Guru, KB Nagasundara, S Manjunath - Proceedings of the first …, 2010 - dl.acm.org
The aim of this paper is to study the effect of feature level fusion of multi instances of finger
knuckle prints. Initially, Zernike moments are extracted for a single instance of finger knuckle …

Finger knuckle pattern person authentication system based on monogenic and LPQ features

S Lakshmanan, P Velliyan, A Attia… - Pattern Analysis and …, 2022 - Springer
Contemporary biometrics is a swiftly broad field of research. Nowadays, biometrics is
predominantly being deployed as a personal identification system in diver's real-world …

Automated person identification from hand images using hierarchical vision transformer network

Z Ebrahimian, SA Mirsharji, R Toosi… - … on Computer and …, 2022 - ieeexplore.ieee.org
Nowadays, person identification is widely used for security purposes. Identity verification is
done using a variety of techniques. Biometric authentication is the most well-known and …