Browsing by Subject "biometrics"

Now showing 1 - 2 of 2
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    Enhancing Biometric-Capsule-based Authentication and Facial Recognition via Deep Learning
    (ACM, 2019) Phillips, Tyler; Zou, Xukai; Li, Feng; Li, Ninghui; Computer and Information Science, School of Science
    In recent years, developers have used the proliferation of biometric sensors in smart devices, along with recent advances in deep learning, to implement an array of biometrics-based authentication systems. Though these systems demonstrate remarkable performance and have seen wide acceptance, they present unique and pressing security and privacy concerns. One proposed method which addresses these concerns is the elegant, fusion-based BioCapsule method. The BioCapsule method is provably secure, privacy-preserving, cancellable and flexible in its secure feature fusion design. In this work, we extend BioCapsule to face-based recognition. Moreover, we incorporate state-of-art deep learning techniques into a BioCapsule-based facial authentication system to further enhance secure recognition accuracy. We compare the performance of an underlying recognition system to the performance of the BioCapsule-embedded system in order to demonstrate the minimal effects of the BioCapsule scheme on underlying system performance. We also demonstrate that the BioCapsule scheme outperforms or performs as well as many other proposed secure biometric techniques.
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    A New Look at Old Abe’s Color Guard
    (Coddington, 2019) Phillips, Tyler; Zou, Xukai; Byrd, Kenneth E.; Computer and Information Science, School of Science
    Many images of the American Civil War exist today and allow us to gain insight into the lives’ of those involved in the conflict. Unfortunately, these images also pose questions as many of the soldiers they depict are unidentified or identified with unknown reliability. One such image is that of the Wisconsin Infantry Color Guard and their bald eagle mascot “Old Abe.” One of the men in the color guard has been identified as George W. Riley due to an inscription on the back of the image. We perform state-of-art biometric-facial analysis of this soldier and several candidate identities. Through this biometric analysis and corroborating historical documents, we present compelling evidence that this soldier is not George W. Riley, but is more likely Walter J. Quick.