Many palmprint authentication approaches have been proposed in recent years. Among
them, the orientation based coding approach, in which the dominant orientation features of …

Direction-based methods are the most powerful and popular palmprint recognition methods.
However, there is no existing work that completely analyzes the essential differences among …

Palmprint recently shows great potential in recognition applications as it is a privacy-friendly
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …

Multibiometrics can provide higher identification accuracy than single biometrics, so it is
more suitable for some real-world personal identification applications that need high …

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …

Palmprint recognition is an important and widely used modality in biometric systems. It has a
high reliability, stability and user acceptability. This paper proposes a new and effective …

The lack of large-scale data seriously hinders the development of palmprint recognition.
Recent approaches address this issue by generating large-scale realistic pseudo palmprints …

Palmprint is a widely used biometric trait deployed in various access-control applications
due to its convenience in use, reliability, and low cost. In this paper, we propose a novel …

Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …