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An embedded real-time finger-vein recognition system for mobile devices

机译:用于移动设备的嵌入式实时手指静脉识别系统

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摘要

With the development of consumer electronics, the demand for simple, convenient, and high-security authentication systems for protecting private information stored in mobile devices has steadily increased. In consideration of emerging requirements for information protection, biometrics, which uses human physiological or behavioral features for personal identification, has been extensively studied as a solution to security issues. However, most existing biometric systems have high complexity in time or space or both, and are thus not suitable for mobile devices. In this paper, we propose a real-time embedded finger-vein recognition system for authentication on mobile devices. The system is implemented on a DSP platform and equipped with a novel finger-vein recognition algorithm. The proposed system takes only about 0.8 seconds to verify one input fingervein sample and achieves an equal error rate (EER) of 0.07% on a database of 100 subjects. The experimental results demonstrate that the proposed finger-vein recognition system is qualified for authentication on mobile devices.
机译:随着消费电子产品的发展,对用于保护存储在移动设备中的私人信息的简单,方便和高安全性的身份验证系统的需求稳步增长。考虑到对信息保护的新要求,使用人类生理或行为特征进行个人识别的生物识别技术已被广泛研究作为解决安全问题的方法。然而,大多数现有的生物统计系统在时间或空间或两者上都具有高度复杂性,因此不适合于移动设备。在本文中,我们提出了一种实时嵌入式手指静脉识别系统,用于在移动设备上进行身份验证。该系统在DSP平台上实现,并配备了新颖的手指静脉识别算法。拟议的系统仅需约0.8秒即可验证一个输入的手指静脉样本,并在100名受试者的数据库上实现0.07%的均等错误率(EER)。实验结果表明,所提出的手指静脉识别系统可以在移动设备上进行身份验证。

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