Among several palmprint feature extraction methods the HOG-based method is attractive
and performs well against changes in illumination and shadowing of palmprint images …

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

Palmprint is one important biometric feature with uniqueness, stability and high
distinguishability, and its study has attracted much attention in the past decades. Although …

Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …

Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …

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 …

In recent years, palmprint recognition has gained increased interest and has been a focus of
significant research as a trustworthy personal identification method. The performance of any …

Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …