Efficient palmprint biometric identification systems using deep learning and feature selection methods

S Trabelsi, D Samai, F Dornaika, A Benlamoudi… - Neural Computing and …, 2022 - Springer
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …

Boosting palmprint identification with gender information using DeepNet

T Chai, S Prasad, S Wang - Future Generation Computer Systems, 2019 - Elsevier
Palmprint has been found to possess distinct features for reliable person identification and
gender classification. Traditionally, the palmprint-based recognition approaches often rely …

Palmprint recognition using siamese network

D Zhong, Y Yang, X Du - … : 13th Chinese Conference, CCBR 2018, Urumqi …, 2018 - Springer
Recently, palmprint representation using different descriptors under the incorporation of
deep neural networks, always achieves significant recognition performance. In this paper …

Improving biometric identification performance using PCANet deep learning and multispectral palmprint

AA Meraoumia, F Kadri, H Bendjenna… - Biometric Security and …, 2017 - Springer
Biometric technology is an emerging field of information technology that recognizes a
person based on a feature vector derived from specific physiological or behavioral …

Joint constrained least-square regression with deep convolutional feature for palmprint recognition

S Zhao, B Zhang - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

Deep learning feature extraction for multispectral palmprint identification

K Bensid, D Samai, FZ Laallam… - Journal of Electronic …, 2018 - spiedigitallibrary.org
Person's identity validation is becoming much more essential due to the increasing demand
for high-security systems. A biometric system testifies the authenticity of specific …

Mobilenet convolutional neural networks and support vector machines for palmprint recognition

A Michele, V Colin, DD Santika - Procedia Computer Science, 2019 - Elsevier
Due to the ease of handling with low resolution images, low cost hardware and high
recognition accuracy, palmprint recognition has been attracting in the recent years. Many …

Learning gabor magnitude features for palmprint recognition

R Chu, Z Lei, Y Han, R He, SZ Li - Asian Conference on Computer Vision, 2007 - Springer
Palmprint recognition, as a new branch of biometric technology, has attracted much attention
in recent years. Various palmprint representations have been proposed for recognition …

Palmprint recognition using deep scattering convolutional network

S Minaee, Y Wang - arXiv preprint arXiv:1603.09027, 2016 - arxiv.org
Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

Triple-type feature extraction for palmprint recognition

L Wu, Y Xu, Z Cui, Y Zuo, S Zhao, L Fei - Sensors, 2021 - mdpi.com
Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …