… images by comparing nodes of corresponding graphs. In our work, we adopt a simple
graph matching algorithms proposed by Sun et al [9]. Each node of one palmprint image is …

… Though explosive growth of palmprint data poses challenges … Therefore, we present a novel
palmprint recognition method … palmprint recognition, DHN is also used for DHV recognition …

… matching. … palmprint recognition based on Graph Neural Networks (GNNs). To the best of
our knowledge, this work is one of the early researches based on GNN for palmprint recognition…

… Once a pair of graphs is registered, the graph matching process … graphs by using the
topological properties of a graph edit path-based induced subgraph. The error tolerant graph match…

… used for biometric recognition and are detected using infrared light from the live body.
Compared with other hand-based biometrics, such as fingerprints and palm print, the primary …

… by a node in a graph. The adjacent nodes (waves) that are continuous are connected by
edges. All connected components with more than 20 nodes in the graph are used as seeds and …

… the palmprint image graph is a novel feature of this work. The user hand and palmprint images
… The spectral graph properties of biometric images can be matched for user identification/…

… -scan palmprint technology, high resolution palmprint recognition has started to receive
significant attention in forensics and law enforcement. In forensic applications, latent palmprints …

… principal lines, for palmprint recognition to significantly improve the matching performance
of the … A graph showing the identification rates for different values of k is called a Cumulative …

… 3D palmprints to produce a 2.5D palmprint data. In the second stage, we propose a graph
based template matching framework for recognition… 2D+3D palmprint recognition systems and …