Palm print verification based deep learning
LH Albak, RRO Al-Nima… - … Computing Electronics and …, 2021 - telkomnika.uad.ac.id
In this paper, we consider a palm print characteristic which has taken wide attentions in
recent studies. We focused on palm print verification problem by designing a deep network …
recent studies. We focused on palm print verification problem by designing a deep network …
An effective recognition approach for contactless palmprint
The biometrics character has been widely used for individual identification and verification.
Palmprint as one of biological features contains abundant discriminative features, which has …
Palmprint as one of biological features contains abundant discriminative features, which has …
A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification
F Hardalac, H Yaşar, A Akyel, U Kutbay - Multimedia Tools and …, 2020 - Springer
Palm print scanning is a widespread method for biometric identity detection which has some
advantages over other methods including its simplicity and relatively lower cost. In this study …
advantages over other methods including its simplicity and relatively lower cost. In this study …
Palmprint recognition with deep convolutional features
Palmprint recognition has become popular and significant in many fields because of its high
efficiency and accuracy in personal identification. In this paper, we present a scheme for …
efficiency and accuracy in personal identification. In this paper, we present a scheme for …
Pay by showing your palm: A study of palmprint verification on mobile platforms
With the fast development of smart mobile devices, mobile phones have gradually become
an indispensable part of people's lives. Many biometric technologies based on mobile …
an indispensable part of people's lives. Many biometric technologies based on mobile …
EEPNet: An efficient and effective convolutional neural network for palmprint recognition
Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …
palmprint recognition methods based on convolution neural networks (CNNs) have been …
[PDF][PDF] Hybrid Deep Learning Model Based on Autoencoder and CNN for Palmprint Authentication.
FM Bachay, MH Abdulameer - International Journal of Intelligent …, 2022 - researchgate.net
Palmprint authentication has received a lot of attention as one of the most prevalent
biometric methods. A palmprint is a portion of the palm's surface that has special …
biometric methods. A palmprint is a portion of the palm's surface that has special …
Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning
M Izadpanahkakhk, SM Razavi… - Applied Sciences, 2018 - mdpi.com
Palmprint verification is one of the most significant and popular approaches for personal
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …
Multi-stream convolutional neural networks fusion for palmprint recognition
In recent years, researchers have carried out palmprint recognition study based on deep
learning, and proposed a variety of methods based on deep learning. In these methods …
learning, and proposed a variety of methods based on deep learning. In these methods …
Towards palmprint verification on smartphones
With the rapid development of mobile devices, smartphones have gradually become an
indispensable part of people's lives. Meanwhile, biometric authentication has been …
indispensable part of people's lives. Meanwhile, biometric authentication has been …