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Evaluation of strengths and weaknesses of dynamic handwritten signature recognition against forgeries

机译:对锻造的动态手写签名识别的优势和弱点评估

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This paper proposes a methodology for evaluating the robustness of handwritten signature biometrics against forgeries. A particular emphasis has been applied in consider the viability of the attacks under operational environments. In order to carry out this work, not only a methodology but a toolbox has been developed. Such toolbox stores data, not only from a signing pad connected to a computer, but also from touch-screen devices such as smartphones and tablets. The proposed methodology has been tested by performing a robustness evaluation of a DTW-based algorithm, and with a database of genuine signatures acquired using a STU-500 pad as an input for the evaluation toolbox. The results will proof the validity of the methodology proposed, as well as show some of the strengths and weaknesses of this biometric modality. It is important to note that those strengths and weaknesses may only apply to the particular algorithm used in the evaluation, and may differ for other algorithms, in particular those that incorporates Presentation Attack Detection (PAD) mechanisms.
机译:本文提出了一种评估手写签名生物识别对伪造的鲁棒性的方法。考虑在运营环境下攻击的可行性,特别强调。为了执行这项工作,不仅是一种方法,而且已经开发了一个工具箱。此类工具箱不仅存储数据,而不仅仅是从连接到计算机的签名焊盘,而且来自触摸屏设备,如智能手机和平板电脑。通过执行基于DTW的算法的稳健性评估,以及使用使用STU-500焊盘获取的真正签名数据库作为评估工具箱的输入来测试所提出的方法。结果证明了提出的方法的有效性,并展示了这种生物识别模型的一些优点和弱点。重要的是要注意,这些强度和弱点可能仅适用于评估中使用的特定算法,并且对于其他算法,特别是那些包含呈现攻击检测(PAD)机制的算法。

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