A comprehensive survey of databases and deep learning methods for cybersecurity and intrusion detection systems

D Gümüşbaş, T Yıldırım, A Genovese… - IEEE Systems …, 2020 - ieeexplore.ieee.org
This survey presents a comprehensive overview of machine learning methods for
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …

An overview of touchless 2D fingerprint recognition

J Priesnitz, C Rathgeb, N Buchmann, C Busch… - EURASIP Journal on …, 2021 - Springer
Touchless fingerprint recognition represents a rapidly growing field of research which has
been studied for more than a decade. Through a touchless acquisition process, many issues …

PalmNet: Gabor-PCA convolutional networks for touchless palmprint recognition

A Genovese, V Piuri, KN Plataniotis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …

Image surface texture analysis and classification using deep learning

A Aggarwal, M Kumar - Multimedia Tools and Applications, 2021 - Springer
Recently, the classification of surface textures is carried out using various modelling
approaches. To analyse the surface texture, most of the techniques uses large amount of …

Automated latent fingerprint identification system: A review

N Singla, M Kaur, S Sofat - Forensic science international, 2020 - Elsevier
Latent fingerprints are considered as one of the important evidences obtained from the site
of crime. The process of developing, acquiring, processing and matching of latent …

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 …

Nanoparticles as fingermark sensors

V Sharma, S Choudhary, P Mankotia, A Kumari… - TrAC Trends in …, 2021 - Elsevier
This review focuses on the application of nanoparticles in the development of latent
fingermark as sensor and their advantages with respect to the quality of fingerprint after …

The role of biometric in banking: A review

M Marani, M Soltani, M Bahadori, M Soleimani… - … Transactions on AI and …, 2023 - eudl.eu
Biometrics plays a pivotal role in enhancing security, ensuring accurate identification, and
offering convenient solutions across diverse industries. Its uniqueness, reliability, and …

[HTML][HTML] Facile LaOF: Sm3+ based labeling agent and their applications in residue chemistry of latent fingerprint and cheiloscopy under UV–visible light

C Suresh, H Nagabhushana, GP Darshan… - Arabian journal of …, 2018 - Elsevier
Luminescent lanthanum oxyfluoride nano inorganic materials were considered to be
prospective building blocks for multifunctional applications. This offers new potentials in …

New hierarchical finger-vein feature extraction method for iVehicles

CH Hsia, CH Liu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
With the advancement of multimedia and digital technology, traditional vehicles are
gradually replaced by intelligent ones. As people attach increasing importance to …