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A new algorithm for identity verification based on the analysis of a handwritten dynamic signature

机译:一种基于手写动态签名分析的身份验证新算法

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Identity verification based on authenticity assessment of a handwritten signature is an important issue in biometrics. There are many effective methods for signature verification taking into account dynamics of a signing process. Methods based on partitioning take a very important place among them. In this paper we propose a new approach to signature partitioning. Its most important feature is the possibility of selecting and processing of hybrid partitions in order to increase a precision of the test signature analysis. Partitions are formed by a combination of vertical and horizontal sections of the signature. Vertical sections correspond to the initial, middle, and final time moments of the signing process. In turn, horizontal sections correspond to the signature areas associated with high and low pen velocity and high and low pen pressure on the surface of a graphics tablet. Our previous research on vertical and horizontal sections of the dynamic signature (created independently) led us to develop the algorithm presented in this paper. Selection of sections, among others, allows us to define the stability of the signing process in the partitions, promoting signature areas of greater stability (and vice versa). In the test of the proposed method two databases were used: public MCYT-100 and paid BioSecure. (C) 2016 Elsevier B.V. All rights reserved.
机译:基于手写签名真实性评估的身份验证是生物识别中的重要问题。考虑到签名过程的动态性,有许多有效的签名验证方法。基于分区的方法在其中非常重要。在本文中,我们提出了一种新的签名分区方法。其最重要的特征是可以选择和处理混合分区,以提高测试签名分析的精度。分区由签名的垂直和水平部分组成。垂直部分对应于签名过程的初始,中间和最后时刻。反过来,水平部分对应于图形输入板表面上与高和低笔速以及高和低笔压相关的签名区域。我们先前对动态签名的垂直和水平部分的研究(独立创建)使我们开发了本文提出的算法。选择部分,除其他外,使我们能够定义分区中签名过程的稳定性,从而提高签名区域的稳定性(反之亦然)。在所提出方法的测试中,使用了两个数据库:公共MCYT-100和付费BioSecure。 (C)2016 Elsevier B.V.保留所有权利。

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