Automated human authentication is becoming increasingly important in today's world due to
increased need of security and surveillance applications deployed in almost all premises …

Palmprint‐based human authentication has shown great potential for civil, forensic, and
corporate security applications in recent years. Palmprint recognition systems suffer …

As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …

A palmprint recognition approach based on multi‐wavelet and convolutional neural network
(CNN) against noise and misalignment is given. CNN method has high robustness in …

Various methods are used to obtain a superior palmprint recognition system. After selecting
a palmprint image filter, using Gabor orientation scale pairs is an option to support the …

In this paper, we propose a feature-level fusion approach for improving the efficiency of
palmprint identification. Multiple elliptical Gabor filters with different orientations are …

This study presents a hierarchical palmprint feature extraction and recognition approach
based on multi‐wavelet and complex network (CN) since they can effectively decrease …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

In the biometrics research area, palmprint recognition system is gaining the most popularity.
Significant performances have been achieved in the state-of-the-art palmprint recognition …

To alleviate the limitation that the recent texture based algorithms for palmprint recognition
yield unsatisfactory robustness to the variations of orientation, position and illumination in …