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

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 …

A new palmprint feature extraction method is proposed by analyzing the characteristics of
palmprint images, multi-wavelet analysis and complex network. As we all know, the main …

During the last decade, palmprint recognition has received an increasing attention due to
the abundant features that can be extracted from the captured palmprint image. However, a …

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

Palmprint recognition has drawn a lot of attentions during recent years. Different features
and algorithms have been proposed for palmprint recognition in the past such as Gabor …

Nowadays, important scientific works are oriented to develop optimal palmprint
representations, especially used in the palmprint recognition field. These representations …

Palmprint recognition systems are dependent on feature extraction. A method of feature
extraction using higher discrimination information was developed to characterize palmprint …

Palmprint recognition has attracted various researchers in recent years due to its richness in
amount of features. In feature extraction, the single feature has become bottleneck in …

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 …