Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach

IF 3.3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Artificial Intelligence and Soft Computing Research Pub Date : 2022-10-01 DOI:10.2478/jaiscr-2022-0018

Marcin Zalasiński, Łukasz Laskowski, Tacjana Niksa-Rynkiewicz, K. Cpałka, A. Byrski, Krzysztof Przybyszewski, Paweł Trippner, Shiquan Dong

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引用次数: 2

Abstract

Abstract In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration signal. Values of these signals can be analyzed, interpreted, selected, and compared. In this paper, we propose an approach that: (a) uses an evolutionary algorithm to create signature partitions in the time and velocity domains; (b) selects the most characteristic partitions in terms of matching with reference signatures; and (c) works individually for each user, eliminating the need of using skilled forgeries. The proposed approach was tested using Biosecure DS2 database which is a part of the DeepSignDB, a database with genuine dynamic signatures. Our simulations confirmed the correctness of the adopted assumptions.

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选择动态签名的进化算法划分方法

摘要在身份验证中，目的是提高有效性，减少被验证用户的参与。动态签名验证确保了这些问题之间的良好折衷。动态签名由描述触笔在时间上的位置的信号来表示。它们可以用于确定速度或加速度信号。这些信号的值可以被分析、解释、选择和比较。在本文中，我们提出了一种方法：（a）使用进化算法在时间域和速度域中创建签名分区；（b）根据与参考签名的匹配来选择最具特征的分区；以及（c）为每个用户单独工作，消除了使用熟练伪造品的需要。所提出的方法使用Biosecure DS2数据库进行了测试，该数据库是DeepSignDB的一部分，DeepSignDB是一个具有真正动态签名的数据库。我们的模拟证实了所采用的假设的正确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Artificial Intelligence and Soft Computing Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

7.00

自引率

25.00%

发文量

审稿时长

24 weeks

期刊介绍： Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.