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 …

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 …

Palmprint recognition, as one of the current biometric technologies, has received extensive
attention and research. There are difficulties in the traditional artificially defined feature when …

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 techniques have been widely applied in security authentication. As a
typical image processing method, convolutional neural network (CNN) has been applied to …

Recently, palmprint representation using different descriptors under the incorporation of
deep neural networks, always achieves significant recognition performance. In this paper …

Deep learning method has been considered as a breakthrough in computer vision,
successfully aplied in many domains, including biometrics. Palmprint recognition has been …

In the classic algorithm, palmprint recognition requires extraction of palmprint features
before classification and recognition, which will affect the recognition rate. To solve this …

As a type of biometric recognition, palmprint recognition uses unique discriminative features
on the palm of a person to identify his/her identity. It has attracted much attention because of …

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 …