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A low-cost Multi-Fingervein Verification System

机译:低成本的多指静脉验证系统

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Fingervein based biometric verification systems are widely used in various access control applications due to their accuracy and reliability. However, almost all existing fingervein systems scan only one finger at a time and this may not be a reliable solution for more secured applications demanding higher accuracy in verification and reliability. In this work, we propose a new multi-fingervein capture system that can simultaneously capture three different fingers in a single capture instance. The developed fingervein sensor is validated for operational purposes through images captured from 20 unique identities(subjects) with 600 fingervein images. The suitability of captured images for biometric applications is vetted through the use of four different state-of-the-art verification algorithms. The results are benchmarked and compared using individual fingervein data and in addition the employability of score level fusion is presented to improve the performance. The reported results in this article support the anticipated increase in performance of the multi-fingervein verification.
机译:基于Fingervein的生物特征验证系统由于其准确性和可靠性而被广泛用于各种访问控制应用中。但是,几乎所有现有的手指静脉系统一次只能扫描一个手指,对于要求更高的验证和可靠性的更安全的应用程序,这可能不是一个可靠的解决方案。在这项工作中,我们提出了一个新的多指静脉捕获系统,该系统可以在一个捕获实例中同时捕获三个不同的手指。通过从具有600个手指静脉图像的20个唯一身份(对象)捕获的图像中验证了开发的手指静脉传感器的可操作性。通过使用四种不同的最新验证算法,对捕获的图像是否适合生物识别应用进行了审查。使用单个手指静脉数据对结果进行基准测试和比较,此外,还提出了分数级别融合的可使用性,以提高性能。本文中报告的结果支持多指静脉验证性能的预期提高。

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