Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual
recognition. In this paper, we present a comparative study of three popular pre-trained CNN …

Deep learning-based palmprint recognition algorithms have shown great potential. Most of
them are mainly focused on identifying samples from the same dataset. However, they may …

Palmprint recognition is a very important field of biometrics, and has been intensively
researched on both feature extraction and classification methods. Recently, deep learning …

Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …

Contactless and online palmprint identification offers improved user convenience, hygiene,
user-security and is highly desirable in a range of applications. This paper proposes an …

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 …

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 …

State-of-the-art palmprint recognition methods have achieved significant performances.
However, most of the existing methods are focused on particular scenarios such as a …

As one promising branch of biometrics, palmprint recognition has received significant
attention and made extraordinary progress in the past decades. The crucial step of palmprint …

Unconstrained palmprint images have shown great potential for recognition applications
due to their lower restrictions regarding hand poses and backgrounds during contactless …