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This paper proposes a novel approach of on-line signature verification. Firstly, on-line signatures are partitioned into a series of segments, which are then represented by graphs. Four segmentation methods are taken into account. Secondly, graph matching techniques are adopted to compute edit distance between corresponding graphs, which measures the similarity of them. Finally, having been able to...
This paper proposes a novel approach of on-line signature verification. Firstly, on-line signatures are represented by a series of graphs, whose nodes and edges describe certain properties at sample points and relationship between points respectively. Then, graph matching techniques are introduced to compute edit distance between graphs, which measures the similarity of graphs. Finally, having been...
In this paper, we propose two effective methods to perform automatic template selection where the goal is to select prototype signature templates for a user from a given set of online signatures. The first method employs a clustering strategy to choose a template set that best represents the intra-class variations, while the second method selects templates that exhibit maximum similarity with the...
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