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On-line signature verification based on template matching approach and support vector data description

机译:基于模板匹配方法和支持向量数据描述的在线签名验证

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Automatic on-line signature verification is an intriguing intellectual challenge with wide attention and practical applications. To solve the difficulty of how to choose the verification threshold in signature verification, we present a novel method based on template matching approach and support vector data description (SVDD) in this paper. Investigates the details of the method and examines the validation of features extracted from 3-axis force of pen-tip to writing tablet. The effectiveness of the proposed solution is demonstrated by the experiment..
机译:自动在线签名验证是一项引人入胜的智力挑战,受到广泛关注和实际应用。为了解决签名验证中如何选择验证阈值的难题,本文提出了一种基于模板匹配和支持向量数据描述(SVDD)的新方法。研究方法的详细信息,并检查从笔尖到书写板的3轴力提取的特征的有效性。实验证明了所提方案的有效性。

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