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Graphs provide a powerful representation formalism that offers great promiseto benefit tasks like handwritten signature verification. While moststate-of-the-art approaches to signature verification rely on fixed-sizerepresentations, graphs are flexible in size and allow modeling local featuresas well as the global structure of the handwriting. In this article, we presenttwo recent graph-based approaches to offline signature verification: keypointgraphs with approximated graph edit distance and inkball models. We provide acomprehensive description of the methods, propose improvements both in terms ofcomputational time and accuracy, and report experimental results for fourbenchmark datasets. The proposed methods achieve top results for severalbenchmarks, highlighting the potential of graph-based signature verification.

Graph-Based Offline Signature Verification