GREYC keystroke: A benchmark for keystroke dynamics biometric systems

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI:10.1109/BTAS.2009.5339051

R. Giot, Mohamad El-Abed, C. Rosenberger

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引用次数: 186

Abstract

Even if the market penetration rate of biometric technologies is still far below its potential, many biometric systems are used in our daily real-life. One of the main reasons to its low proliferation is the lack of a generic and complete approach that quantifies the performance of biometric systems taking into account individuals' perception among the process. Among all the existing biometric modalities, authentication systems based on keystroke dynamics are particularly interesting. Many researchers proposed in the last decades some algorithms to increase the efficiency of this approach. Nevertheless, none significant benchmark is available and commonly used in the state of the art to compare them by using a similar and rigorous protocol. We propose in this paper: a benchmark testing suite composed of a database and a software that are available for the scientific community for the evaluation of keystroke dynamics based systems. Performance evaluation of various keystroke dynamics methods tested on the database is available in [1].

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GREYC击键:击键动力学生物识别系统的基准

即使生物识别技术的市场渗透率仍远低于其潜力，许多生物识别系统在我们的日常生活中使用。其低增殖的主要原因之一是缺乏一种通用和完整的方法来量化生物识别系统的性能，并考虑到个体在过程中的感知。在所有现有的生物识别模式中，基于击键动力学的身份验证系统特别有趣。在过去的几十年里，许多研究者提出了一些算法来提高这种方法的效率。然而，目前还没有一个重要的基准可用，并且通常使用类似的严格协议来比较它们。我们在本文中提出:一个由数据库和软件组成的基准测试套件，可供科学界用于评估基于击键动力学的系统。在数据库上测试的各种击键动力学方法的性能评估见[1]。

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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2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems

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