Pathological brain detection by artificial intelligence in magnetic resonance imaging scanning (invited review)

S Wang, Y Zhang, T Zhan, P Phillips, YD Zhang… - Progress in …, 2016 - jpier.org
(Aim) Pathological brain detection (PBD) systems aim to assist and even replace
neuroradiologists to make decisions for patients. This review offers a comprehensive and …

Palmprint identification using sparse and dense hybrid representation

SA Maadeed, X Jiang, I Rida, A Bouridane - Multimedia Tools and …, 2019 - Springer
Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …

Combining shape analysis and texture pattern for palmprint identification

R Mokni, H Drira, M Kherallah - Multimedia Tools and Applications, 2017 - Springer
We propose an efficient method for principal line extraction from the palmprint and geometric
framework for analyzing their shapes. This representation, along with the elastic …

Double biologically inspired transform network for robust palmprint recognition

K Zhou, X Zhou, L Yu, L Shen, S Yu - Neurocomputing, 2019 - Elsevier
Most state-of-the-art methods in recognizing rotated, scaled, and translated (RST) palmprint
image have difficulty to achieve the tradeoff between accuracy and robustness. Inspired by …

Fusing multi-techniques based on LDA-CCA and their application in palmprint identification system

R Mokni, H Drira, M Kherallah - 2017 IEEE/ACS 14th …, 2017 - ieeexplore.ieee.org
In this paper, we investigate an efficient palmprint texture modeling method that incorporates
a robust analysis based on fusing multiple information. In fact, a single descriptor alone may …

Biometric palmprint identification via efficient texture features fusion

R Mokni, M Elleuch, M Kherallah - 2016 International Joint …, 2016 - ieeexplore.ieee.org
Recently, personal identification, which is based on the palmprint texture features analysis,
has widely attracted the attention of several researchers and has gained a great popularity …

Deep-analysis of palmprint representation based on correlation concept for human biometrics identification

R Mokni, H Drira, M Kherallah - International Journal of Digital Crime …, 2020 - igi-global.com
The security of people requires a beefy guarantee in our society, particularly, with the spread
of terrorism throughout the world. In this context, palmprint identification based on texture …

[PDF][PDF] Application of Artificial Neural Networks Technology for Handwritten Arabic Letters Recognition

A Douma, AA Ahmed, A Alsharif… - International Journal, 2022 - researchgate.net
The mechanism that convert and detect the handwriting letters by using machine-encoded
forms is called handwriting recognition. The interaction between machines and humans is …

Palmprint recognition through the fractal dimension estimation for texture analysis

R Mokni, M Kherallah - International Journal of Biometrics, 2016 - inderscienceonline.com
Palmprint is a human physiological feature which can distinguish and identify one person
from another. In the palmprint recognition biometric systems, the feature extraction is …

Novel palmprint biometric system combining several fractal methods for texture information extraction

R Mokni, M Kherallah - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
This paper presents a new method to recognize the person's identity through their
palmprints. Palmprint recognition is among the most reliable physiological characteristics …