Offline signature verification system: a graph neural network based approach

Volume: 14, Issue: 7, Pages: 8219 - 8229
Published: Nov 10, 2021
Abstract
Recent years have witnessed the surge of graph neural networks (GNNs) in various research fields. Compared to the convolutional neural networks (CNNs), GNNs happen to be more powerful and comprehensive as they use graphs to learn an embedding that contains information about the neighbourhood of a target node in a graph. Hence, GNN models have achieved exemplary performance in many tasks such as node classification, link prediction, and graph...
Paper Details
Title
Offline signature verification system: a graph neural network based approach
Published Date
Nov 10, 2021
Volume
14
Issue
7
Pages
8219 - 8229
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