… 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 …

… supervised learning, like deep belief network (DBN). Three crucial points in a particular learning
… A typical deep learning system generally consists of diverse layers, for example, CNN is …

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

… capabilities from the deep learning for palmprint identification and achieve … -art palmprint
recognition methods. This report proposes a new, deep learning based, contactless palmprint …

… a novel palmprint/palmvein recognition algorithm, which use PCANet to extract the palmprint/…
This deep learning model is tested for palmprint/palmvein identification and obtained better …

… Moreover, some studies proposed learning … learn palmprint features. To the best of our
knowledge, there are few systematic studies on deep learning application to palmprint recognition…