… Abstract—Deep learning … Palmprint recognition has been accepted with high acceptability
and low intrusion. In this study, deep learning was introduced into palmprint recognition for a …

… In this work, an efficient method for 2D and 3D palmprint recognition is proposed by using
a deep learning algorithm. Some main contributions were given, we adapted the using of the …

… 3D palmprint recognition framework based on an unsupervised convolutional deep learning
… Specifically, the proposed framework first reconstructs illumination-invariant 3D palmprint …

… discriminative palmprint features, PalmNet deep learning is used to extract the features
vector of each data type. It is a particular case of an image classification deep learning baseline, …

… This section introduces the DL-based methods for palmprint and IFT recognition. In particular,
it is possible to divide DLbased methods for palmprint recognition in three classes, based …

… To the best of our knowledge, there are few systematic studies on deep learning application
to palmprint recognition. Svoboda et al. [20] proposed to use a Siamese network, with an …

… palmprint recognition datasets. Therefore, pre-trained deep-learning models can extract
palmprint-… scale training of Deep Bayesian Neural Networks for Palmprint Recognition. All the …

… In this work, we approach the palmprint recognition problem with a deep learning
paradigm we refer to as dprime CNN, allowing to learn optimal features for the genuine/impostor …

… for palmprint recognition by using a new variant of a deep learning method called DCTNet.
… pertinent information from the palmprint modalities using a deep learning DCTNet in our case…

… The aim and contribution of this work is suggesting a deep learning model for two-dimensional
palm prints based verification. It is named the palm convolutional neural network (PCNN) …