On understanding context modelling for adaptive authentication systems

A Bumiller, S Challita, B Combemale, O Barais… - ACM Transactions on …, 2023‏ - dl.acm.org
In many situations, it is of interest for authentication systems to adapt to context (eg, when
the user's behavior differs from the previous behavior). Hence, representing the context with …

[PDF][PDF] A review on biometric recognition

G Kaur, G Singh, V Kumar - International Journal of Bio-Science and …, 2014‏ - gvpress.com
Biometrics introduce to the recognition of human by their characteristics. It is used to identify
individuals in groups. Traditional methods of identification involving passwords and PIN …

Multimodal biometric authentication system using deep learning method

SS Sengar, U Hariharan… - … Conference on Emerging …, 2020‏ - ieeexplore.ieee.org
For specific identification process, Identity Management details an ailment of supplying
authorized owners with secure and easy admittance to information and solutions. For …

[HTML][HTML] Recognition of emotion intensities using machine learning algorithms: A comparative study

D Mehta, MFH Siddiqui, AY Javaid - Sensors, 2019‏ - mdpi.com
Over the past two decades, automatic facial emotion recognition has received enormous
attention. This is due to the increase in the need for behavioral biometric systems and …

Federated learning for biometric recognition: a survey

J Guo, H Mu, X Liu, H Ren, C Han - Artificial Intelligence Review, 2024‏ - Springer
Recently, deep learning (DL) has achieved great success in biometric recognition. The
application of DL has also led to a high demand for biometric data. However, as people …

An intelligent technique for uniquely recognising face and finger image using learning vector quantisation (LVQ)-based template key generation

V Arulkumar, P Vivekanandan - International Journal of …, 2018‏ - inderscienceonline.com
In current days, to identify, verify and detect the humans by using the bio recognition based
on multimodal biometric was speedily developed which focus to necessitate the security …

Proactive forensic science in biometrics: Novel materials for fingerprint spoofing

M Saguy, J Almog, D Cohn… - Journal of Forensic …, 2022‏ - Wiley Online Library
Motivated by the need to prepare for the next generation of fingerprint spoofing, we applied
the “proactive forensic science” strategy to the biometric field. The working concept, already …

Additive adversarial learning for unbiased authentication

J Liang, Y Cao, C Zhang, S Chang… - Proceedings of the …, 2019‏ - openaccess.thecvf.com
Authentication is a task aiming to confirm the truth between data instances and personal
identities. Typical authentication applications include face recognition, person re …

Systematic evaluation of pre-processing approaches in online signature verification

M Saleem, C Lia Szucs… - Intelligent Decision …, 2023‏ - journals.sagepub.com
Online signature verification is a currently evolving field. Numerous verification approaches
are proposed each year that are claimed to be capable of delivering improved results in …

An optimized Identification System by using Shark Smell algorithm for Biometric Images Crossing.

KH Zaboon, AA Abdullah - Journal of Intelligent Systems & …, 2023‏ - search.ebscohost.com
The security and privacy fields and multimedia biometrics have been widely used today for
personal authentication. Sclera and Palm-print of humans are one of the fastest, accurate …