Template construction for function-based signature verification

Industrial Electronics and Applications(2011)

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摘要
In function-based signature verification system, a robust template is critical to achieve high performance. In this paper, a two-staged selection method for template construction is proposed for function-based approach. At the first stage, the representative reference is selected for signature training before template constructed. From this reference, an initial template is picked up and the final template is created by averaging the references at the next stage. Experiments of the proposed methods are carried out and compared with other template construction methods. The result shows that the improved template typically represents the variability of intra-class. It can be pointed out that the proposed method reduces the false rejection rate remarkably, although a relatively little change happened to the false acceptation rate.
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关键词
learning (artificial intelligence),digital pen,force signal,digital signatures,template construction,false rejection rate,signature training,signature verification,false acceptation rate,template constrction,function-based,function based signature verification,learning artificial intelligence,force,heuristic algorithm,industrial electronics
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