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 …

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 …

Palmprint recognition system is gaining popularity in the biometrics research field, and it is
considered as one of the most essential behavioral aspects of biometrics. The proposed …

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 has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

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 …

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

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 …

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