Multimodal fusion of the finger vein, fingerprint and the finger-knuckle-print using Kernel Fisher analysis

S Khellat-Kihel, R Abrishambaf, JL Monteiro… - Applied Soft …, 2016 - Elsevier
Unimodal biometric have improved the possibility to establish systems capable of identifying
and managing the flow of individuals according to the available intrinsic characteristics that …

[PDF][PDF] A short review on machine learning techniques used for fingerprint recognition

J Yadav, ZA Jaffery, L Singh - J Crit Rev, 2020 - researchgate.net
In all biometric traits, a fingerprint is considered as a foremost trait due to its high security
level, reliability, universality, uniqueness, robustness, low costs, and user convenience. Due …

Finger vein recognition using Gabor filter and support vector machine

S Khellat-Kihel, N Cardoso, J Monteiro… - International image …, 2014 - ieeexplore.ieee.org
Nowadays biometric identification systems are widely spread since the safety of those
systems has been proven. They exhibit a large number of advantages when compared to …

Comparative analysis of machine learning algorithms for Lip print based person identification

S Sandhya, R Fernandes, S Sapna… - Evolutionary …, 2022 - Springer
Human identification is centered on the theory that every individual is unique and has
distinct characteristics. Various metrics like Fingerprints, DNA and Retina can be used for …

Fingerprint classification using support vector machine

NA Alias, NHM Radzi - 2016 Fifth ICT International Student …, 2016 - ieeexplore.ieee.org
Fingerprint is one of the widely used biometric identification to identify the identity of a
person due reliability and acceptability. Fingerprint classes are divided into five such as …

Fingerprint classification based on a Q-Gaussian multiclass support vector machine

M Hammad, K Wang - … of the 2017 International Conference on …, 2017 - dl.acm.org
Accurate recognition and actual classification of fingerprint are vital and necessary for
fingerprint identification. Previous researchers have used many classification algorithms to …

Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system

MA Farooq, H Javidnia… - Journal of Electronic …, 2020 - spiedigitallibrary.org
Gender classification has found many useful applications in the broader domain of computer
vision systems including in-cabin driver monitoring systems, human–computer interaction …

New approach for fingerprint recognition based on stylometric features with blockchain and cancellable biometric aspects

A Elsadai, S Adamović, M Šarac, M Saračević… - Multimedia Tools and …, 2022 - Springer
Applying machine learning techniques and methods in biometric recognition has gained
significant attention in recent years as it can provide a better performance, high accuracy …

[PDF][PDF] Fingerprint classification model based on new combination of particle swarm optimization and support vector machine

RHA Al_Sagheer, J Mona, A Abdulmohson… - Int. J. Civil Eng …, 2018 - researchgate.net
Fingerprint is one of the broadly utilized biometric distinguishing proof to recognize the
persons due steady and worthiness. The classification of fingerprints gives indexing to the …

A Secure Biometric Novel Approach for Authentication Using Multi-Fingerprint Traits

MK Vaddepalli, A Rajesh - … , Networking and IoT: Proceedings of 5th ICICC …, 2022 - Springer
With the rapid enhancements in the technology era, high-end security systems are
necessary to authenticate the correct user. Biometric-based automatic authentication …