基于手掌静脉特征的非接触式生物识别技术的初步适应性研究

G. Michael, T. Connie, A. Teoh
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引用次数: 8

摘要

本文提出了一种适应和习惯测试,从用户的角度来评估非接触式手部生物识别系统的可用性。由于基于手的非接触式生物识别技术是一项相对较新的技术,因此研究其难度水平以及用户适应与传感器交互的适当模式所需的时间是很重要的。了解用户如何习惯设备是生物识别系统在实际应用中取得成功的关键。本研究采用手掌静脉生物识别技术作为研究领域。选择这种模式是因为它有很好的准确率。我们提出了一种新的图像质量评估方案来评估输入图像的质量。有时,由于皮肤的医学状况,静脉图像可能不清晰(如厚脂肪组织阻塞皮下血管),因此,不适合接受质量较差的图像进入我们的系统。此质量检查组件放置在注册和验证阶段,以便在将其用于进一步处理之前仔细检查图像。通过消除许多质量差的图像,可以大大提高系统的性能。
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A preliminary acclimatization study of a contactless biometrics using palm vein feature
This paper presents an acclimatization and habituation test to evaluate the usability of a contactless hand biometric system from the user's perspective. As contactless hand-based biometrics is a relatively new technology, it is important to investigate the difficulty level, and the period it takes for the user to get accustomed to the appropriate mode of interacting with the sensor. Understanding how the users get habituated with the device is the key to the success of the biometric system in real-world application. In this research, palm vein biometrics is adopted as the domain of investigation. This modality is selected due to its promising accuracy rate. We propose a novel image quality assessment scheme to evaluate the quality of the input images. Sometimes, the vein images may not appear clear due to the medical condition of the skin (like thick fatty tissue obstructing the subcutaneous blood vessels), thus, it is not appropriate to accept the poor quality images into our system. This quality checking component is placed in both the enrollment and verification phases to scrutinize the image before taking it for further process. The performance of our system can be largely improved by eliminating many poor quality images.
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