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A new approach to automatic signature complexity assessment

机译:自动签名复杂度评估的新方法

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Understanding signature complexity has been shown to be a crucial facet for both forensic and biometric appbcations. The signature complexity can be defined as the difficulty that forgers have when imitating the dynamics (constructional aspects) of other users signatures. Knowledge of complexity along with others facets such stability and signature length can lead to more robust and secure automatic signature verification systems. The work presented in this paper investigates the creation of a novel mathematical model for the automatic assessment of the signature complexity, analysing a wider set of dynamic signature features and also incorporating a new layer of detail, investigating the complexity of individual signature strokes. To demonstrate the effectiveness of the model this work will attempt to reproduce the signature complexity assessment made by experienced FDEs on a dataset of 150 signature samples.
机译:对于法医和生物特征识别,了解签名的复杂性已被证明是至关重要的方面。签名复杂度可以定义为伪造者在模仿其他用户签名的动态(构造方面)时遇到的困难。对复杂性的了解以及诸如稳定性和签名长度之类的其他方面可以导致更健壮和安全的自动签名验证系统。本文提出的工作研究了一种用于自动评估签名复杂性的新颖数学模型,分析了更广泛的动态签名特征集,并且还纳入了新的细节层,从而研究了单个签名笔划的复杂性。为了证明该模型的有效性,这项工作将尝试在150个签名样本的数据集上重现由经验丰富的FDE进行的签名复杂性评估。

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