论文标题
使用触摸屏生物识别技术端到端用户识别
End-to-end User Recognition using Touchscreen Biometrics
论文作者
论文摘要
我们将触摸屏数据研究为行为生物识别技术。目标是创建一个端到端系统，该系统可以使用来自移动设备的原始数据透明地识别用户。在使用的方法和数据库中，触摸屏生物识别技术仅在一系列具有差异的作品中研究了几次。在提出的系统数据中，来自触摸屏的数据直接无需任何处理即可到达深神经网络的输入，该网络能够决定用户的身份。不使用手工制作的功能。实施的分类算法试图通过原始数据自行查找模式。所达到的结果表明，所提出的深层模型足以足以实现给定的识别任务。进行的测试表明，与最先进的系统相比，用户识别的准确性和更好的EER结果。我们系统获得的最佳结果是0.65％EER。
We study the touchscreen data as behavioural biometrics. The goal was to create an end-to-end system that can transparently identify users using raw data from mobile devices. The touchscreen biometrics was researched only few times in series of works with disparity in used methodology and databases. In the proposed system data from the touchscreen goes directly, without any processing, to the input of a deep neural network, which is able to decide on the identity of the user. No hand-crafted features are used. The implemented classification algorithm tries to find patterns by its own from raw data. The achieved results show that the proposed deep model is sufficient enough for the given identification task. The performed tests indicate high accuracy of user identification and better EER results compared to state of the art systems. The best result achieved by our system is 0.65% EER.
