With the development of IoT and mobile devices, cross-device palmprint recognition is
becoming an emerging research topic in multimedia for its great application potential. Due to …

Biometrie data is utilized by governmental and institutional entities to ascertain the unique
identity of an individual. Palm print data, a significant element of biometric information, is …

With the growing demand for hand hygiene, touchless palmprint recognition has made great
strides recently, providing an effective solution for personal identification. Despite many …

One of the important factors in deep feature learning is their loss function design which
highly influences the network performance. In this paper, we proposed a classroom (CR) …

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 …

Binary feature representation methods have received increasing attention due to their high
efficiency and great robustness to illumination variation. However, most of them are hand …

As we all know, the single model extraction palmprint biometric recognition information is
relatively simple, and the existing traditional palmprint recognition methods are greatly …

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

Palmprint recognition has attracted widespread attention because of its advantages such as
easy acquisition, rich texture, and security. However, most existing palmprint recognition …

This paper presents a comprehensive study of deep learning methods and datasets used for
solving the palmprint recognition problem. The quality of image embeddings provided by …